Customized search or acquisition of digital media assets
First Claim
1. A method for processing a search request, the method comprising:
- receiving a search request from an electronic device, the search request including one or more search criteria;
searching a database in accordance with the one or more search criteria to obtain search results, the database including digital asset information pertaining to a plurality of digital media assets and the search results corresponding to different digital media assets;
monitoring usage of the electronic device to determine usage data, wherein monitoring the usage includes determining a level of completion of a digital media asset consumed by the electronic device;
determining, based on the level of completion of the digital media asset consumed by the electronic device, that a particular type of digital media asset is of more interest to a user of the electronic device compared to another type of digital media asset when the level of completion of the digital media asset consumed by the electronic device has exceeded a trigger point of the digital media asset, wherein the trigger point indicates a position in the digital media asset;
ranking the search results based at least in part on the usage data and the particular type of digital media asset determined to be of more interest to the user compared to the other type of digital media asset, wherein ranking the search results includes increasing a ranking for digital media assets belonging to the determined particular type of digital media assets compared to digital media assets of the other type within the search results; and
presenting the ranked search results via the electronic device.
1 Assignment
0 Petitions

Accused Products

Abstract
Improved techniques for using usage data are disclosed. The usage data can pertain to a user of an electronic device. The usage data can be monitored and recorded on the electronic device. The improved techniques are particularly useful when the electronic device is a mobile electronic device. In one embodiment, the usage data can be used to enhance searching of digital assets, such as digital media assets, resident at a local or remote repository. In another embodiment, the usage data can be used to determine content to be resident locally on the electronic device. In still another embodiment, the usage data can be used to present (e.g., display) information on the electronic device.
273 Citations
Systems and methods for social book reading | ||
Patent #
US 10,599,298 B1
Filed 07/27/2017
|
Current Assignee
Amazon Technologies
|
Original Assignee
Amazon Technologies
|
System to quantify consumer preferences | ||
Patent #
US 7,904,331 B2
Filed 03/24/2010
|
Current Assignee
Truechoice IP Holding Incorporated
|
Original Assignee
True Chemical Solutions LLC.
|
Natural language query processing | ||
Patent #
US 7,917,497 B2
Filed 04/18/2008
|
Current Assignee
IAC Search Media Incorporated
|
Original Assignee
IAC Search Media Incorporated
|
Natural language speech lattice containing semantic variants | ||
Patent #
US 7,873,519 B2
Filed 10/31/2007
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Phoenix Solutions Incorporated
|
Multimodal disambiguation of speech recognition | ||
Patent #
US 7,881,936 B2
Filed 06/01/2005
|
Current Assignee
Cerence Inc.
|
Original Assignee
Tegic Communications Inc.
|
SEGMENT SENSITIVE QUERY MATCHING OF DOCUMENTS | ||
Patent #
US 20110035374A1
Filed 08/10/2009
|
Current Assignee
R2 Solutions LLC
|
Original Assignee
Yahoo Inc.
|
Systems and methods for responding to natural language speech utterance | ||
Patent #
US 7,917,367 B2
Filed 11/12/2009
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
VoiceBox Technologies Inc.
|
Multimodal natural language query system for processing and analyzing voice and proximity-based queries | ||
Patent #
US 7,873,654 B2
Filed 03/14/2008
|
Current Assignee
Portal Communications LLC
|
Original Assignee
The Intellection Group Inc.
|
Statistical language model trained with semantic variants | ||
Patent #
US 7,912,702 B2
Filed 10/31/2007
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Phoenix Solutions Incorporated
|
SYSTEM AND METHOD OF SUPPORTING ADAPTIVE MISRECOGNITION IN CONVERSATIONAL SPEECH | ||
Patent #
US 20110131036A1
Filed 02/07/2011
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
VoiceBox Technologies Inc.
|
Natural language processing of disfluent sentences | ||
Patent #
US 7,930,168 B2
Filed 10/04/2005
|
Current Assignee
Robert Bosch GmbH
|
Original Assignee
Robert Bosch GmbH
|
Ranking video articles | ||
Patent #
US 7,933,338 B1
Filed 11/10/2005
|
Current Assignee
Google LLC
|
Original Assignee
Google Inc.
|
SYSTEM AND METHOD FOR PROVIDING A NATURAL LANGUAGE CONTENT DEDICATION SERVICE | ||
Patent #
US 20110112921A1
Filed 11/10/2010
|
Current Assignee
AI Thinktank LLC
|
Original Assignee
VoiceBox Technologies Inc.
|
Personal virtual assistant | ||
Patent #
US 7,920,678 B2
Filed 09/23/2008
|
Current Assignee
Avaya Incorporated
|
Original Assignee
Avaya Incorporated
|
SCHEDULE MANAGEMENT SYSTEM USING INTERACTIVE ROBOT AND METHOD AND COMPUTER-READABLE MEDIUM THEREOF | ||
Patent #
US 20110125540A1
Filed 11/17/2010
|
Current Assignee
Samsung Electronics Co. Ltd.
|
Original Assignee
Samsung Electronics Co. Ltd.
|
SYSTEMS AND METHODS FOR RESPONDING TO NATURAL LANGUAGE SPEECH UTTERANCE | ||
Patent #
US 20110131045A1
Filed 02/02/2011
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
VoiceBox Technologies Inc.
|
Specializing disambiguation of a natural language expression | ||
Patent #
US 20110119049A1
Filed 10/22/2010
|
Current Assignee
Clausal Computing Oy
|
Original Assignee
Tatu Ylonen Oy Ltd
|
LAZY EVALUATION OF SEMANTIC INDEXING | ||
Patent #
US 20110137910A1
Filed 12/08/2009
|
Current Assignee
Monument Peak Ventures LLC
|
Original Assignee
Intellectual Ventures Fund 83 LLC
|
Intuitive Computing Methods and Systems | ||
Patent #
US 20110161076A1
Filed 06/09/2010
|
Current Assignee
Digimarc Corporation
|
Original Assignee
Digimarc Corporation
|
SYSTEM AND METHOD FOR HYBRID PROCESSING IN A NATURAL LANGUAGE VOICE SERVICES ENVIRONMENT | ||
Patent #
US 20110112827A1
Filed 02/09/2010
|
Current Assignee
Cerence Inc.
|
Original Assignee
VoiceBox Technologies Inc.
|
Apparatus and Method for Analyzing Intention | ||
Patent #
US 20110082688A1
Filed 09/30/2010
|
Current Assignee
Samsung Electronics Co. Ltd.
|
Original Assignee
Samsung Electronics Co. Ltd.
|
DIALOGUE SYSTEM AND DIALOGUE METHOD THEREOF | ||
Patent #
US 20110144999A1
Filed 12/10/2010
|
Current Assignee
Samsung Electronics Co. Ltd.
|
Original Assignee
Samsung Electronics Co. Ltd.
|
Mobile systems and methods of supporting natural language human-machine interactions | ||
Patent #
US 7,949,529 B2
Filed 08/29/2005
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
VoiceBox Technologies Inc.
|
Global speech user interface | ||
Patent #
US 8,005,679 B2
Filed 10/31/2007
|
Current Assignee
Promptu Systems Corporation
|
Original Assignee
Promptu Systems Corporation
|
Interactive complex task teaching system that allows for natural language input, recognizes a user's intent, and automatically performs tasks in document object model (DOM) nodes | ||
Patent #
US 7,983,997 B2
Filed 11/02/2007
|
Current Assignee
Florida Institute For Human And Machine Cognition Inc.
|
Original Assignee
Florida Institute For Human And Machine Cognition Inc.
|
Dynamic speech sharpening | ||
Patent #
US 7,983,917 B2
Filed 10/29/2009
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
VoiceBox Technologies Inc.
|
SYSTEM AND METHOD FOR PROVIDING AN ACOUSTIC GRAMMAR TO DYNAMICALLY SHARPEN SPEECH INTERPRETATION | ||
Patent #
US 20110231188A1
Filed 06/01/2011
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
VoiceBox Technologies Inc.
|
Apparatus, method and computer program product for recognizing speech | ||
Patent #
US 7,974,844 B2
Filed 03/01/2007
|
Current Assignee
Toshiba Digital Solutions Corporation
|
Original Assignee
Toshiba Corporation
|
Recognizing User Intent In Motion Capture System | ||
Patent #
US 20110175810A1
Filed 01/15/2010
|
Current Assignee
Microsoft Technology Licensing LLC
|
Original Assignee
Microsoft Corporation
|
Personal virtual assistant | ||
Patent #
US 8,000,453 B2
Filed 03/21/2008
|
Current Assignee
Avaya Incorporated
|
Original Assignee
Avaya Incorporated
|
Apparatus and method for problem solving using intelligent agents | ||
Patent #
US 7,987,151 B2
Filed 02/25/2005
|
Current Assignee
GEN Dynamics Advanced Info Systems Incorporated
|
Original Assignee
General Dynamics Advanced Info Systems Inc.
|
MULTI-DIMENSIONAL DISAMBIGUATION OF VOICE COMMANDS | ||
Patent #
US 20110184730A1
Filed 01/22/2010
|
Current Assignee
Google LLC
|
Original Assignee
Google Inc.
|
MOBILE SYSTEMS AND METHODS OF SUPPORTING NATURAL LANGUAGE HUMAN-MACHINE INTERACTIONS | ||
Patent #
US 20110231182A1
Filed 04/11/2011
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
VoiceBox Technologies Inc.
|
Systems and methods for processing natural language speech utterances with context-specific domain agents | ||
Patent #
US 8,015,006 B2
Filed 05/30/2008
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
VoiceBox Technologies Inc.
|
METHODS, DEVICES, AND COMPUTER PROGRAM PRODUCTS FOR CLASSIFYING DIGITAL MEDIA FILES BASED ON ASSOCIATED GEOGRAPHICAL IDENTIFICATION METADATA | ||
Patent #
US 20110225151A1
Filed 03/15/2010
|
Current Assignee
Sony Ericsson Mobile Communications USA Incorporated
|
Original Assignee
Sony Ericsson Mobile Communications USA Incorporated
|
INFERRING USER INTENT TO ENGAGE A MOTION CAPTURE SYSTEM | ||
Patent #
US 20110279368A1
Filed 05/12/2010
|
Current Assignee
Microsoft Technology Licensing LLC
|
Original Assignee
Microsoft Corporation
|
Providing recent history with search results | ||
Patent #
US 8,055,638 B2
Filed 12/11/2008
|
Current Assignee
Microsoft Technology Licensing LLC
|
Original Assignee
Microsoft Corporation
|
Dynamic speech sharpening | ||
Patent #
US 8,069,046 B2
Filed 10/29/2009
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
VoiceBox Technologies Inc.
|
Multimedia spaces | ||
Patent #
US 8,055,708 B2
Filed 06/01/2007
|
Current Assignee
Microsoft Technology Licensing LLC
|
Original Assignee
Microsoft Corporation
|
SYSTEM AND METHOD FOR DYNAMICALLY MONITORING, RECORDING, PROCESSING, ATTACHING DYNAMIC, CONTEXTUAL AND ACCESSIBLE ACTIVE LINKS AND PRESENTING OF PHYSICAL OR DIGITAL ACTIVITIES, ACTIONS, LOCATIONS, LOGS, LIFE STREAM, BEHAVIOR AND STATUS | ||
Patent #
US 20110276396A1
Filed 05/10/2011
|
Current Assignee
OnePatont Software Limited
|
Original Assignee
OnePatont Software Limited
|
History answer for re-finding search results | ||
Patent #
US 8,060,524 B2
Filed 12/11/2008
|
Current Assignee
Microsoft Technology Licensing LLC
|
Original Assignee
Microsoft Corporation
|
RANKING SEARCH RESULTS | ||
Patent #
US 20110296463A1
Filed 05/25/2011
|
Current Assignee
Comcast Cable Communications LLC
|
Original Assignee
Comcast Cable Communications LLC
|
Dialogue management using scripts | ||
Patent #
US 8,041,570 B2
Filed 05/31/2005
|
Current Assignee
Robert Bosch Corporation
|
Original Assignee
Robert Bosch Corporation
|
Systems and methods for processing natural language queries | ||
Patent #
US 7,720,674 B2
Filed 06/29/2004
|
Current Assignee
SAP SE
|
Original Assignee
SAP SE
|
Network based interactive speech recognition system | ||
Patent #
US 7,831,426 B2
Filed 06/23/2006
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Phoenix Solutions Incorporated
|
SYSTEMS AND METHODS FOR PRIORITIZING MOBILE MEDIA PLAYER FILES | ||
Patent #
US 20100268680A1
Filed 05/20/2010
|
Current Assignee
Apple Inc.
|
Original Assignee
Strands Incorporated
|
Internet based speech recognition system with dynamic grammars | ||
Patent #
US 7,725,320 B2
Filed 04/09/2007
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Phoenix Solutions Incorporated
|
SYSTEM AND METHOD OF SUPPORTING ADAPTIVE MISRECOGNITION IN CONVERSATIONAL SPEECH | ||
Patent #
US 20100023320A1
Filed 10/01/2009
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
VoiceBox Technologies Inc.
|
Method for Triggering at Least One First and Second Background Application via a Universal Language Dialog System | ||
Patent #
US 20100042400A1
Filed 11/09/2006
|
Current Assignee
Unify GmbH Co. KG
|
Original Assignee
Unify GmbH Co. KG
|
System and method for processing sentence based queries | ||
Patent #
US 7,657,424 B2
Filed 12/03/2004
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Phoenix Solutions Incorporated
|
APPARATUS AND METHOD FOR PREDICTING USER'S INTENTION BASED ON MULTIMODAL INFORMATION | ||
Patent #
US 20100280983A1
Filed 04/29/2010
|
Current Assignee
Samsung Electronics Co. Ltd.
|
Original Assignee
Samsung Electronics Co. Ltd.
|
Emotion Detection Device and Method for Use in Distributed Systems | ||
Patent #
US 20100036660A1
Filed 10/14/2009
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Phoenix Solutions Incorporated
|
Identification and rejection of meaningless input during natural language classification | ||
Patent #
US 7,707,027 B2
Filed 04/13/2006
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Nuance Communications Inc.
|
Mobile systems and methods for responding to natural language speech utterance | ||
Patent #
US 7,693,720 B2
Filed 07/15/2003
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
VoiceBox Technologies Inc.
|
Systems for natural language processing of sentence based queries | ||
Patent #
US 20100005081A1
Filed 09/14/2009
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Nuance Communications Inc.
|
Methods and Systems for Searching Using Spoken Input and User Context Information | ||
Patent #
US 20100235341A1
Filed 05/19/2010
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Phoenix Solutions Incorporated
|
Techniques for disambiguating speech input using multimodal interfaces | ||
Patent #
US 7,684,985 B2
Filed 12/10/2003
|
Current Assignee
Waloomba Tech Limited LLC
|
Original Assignee
Kirusa Inc.
|
Adjustable resource based speech recognition system | ||
Patent #
US 7,647,225 B2
Filed 11/20/2006
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Phoenix Solutions Incorporated
|
APPARATUS AND METHOD FOR PROVIDING GOAL PREDICTIVE INTERFACE | ||
Patent #
US 20100318576A1
Filed 03/19/2010
|
Current Assignee
Samsung Electronics Co. Ltd.
|
Original Assignee
Samsung Electronics Co. Ltd.
|
Speech recognition system for client devices having differing computing capabilities | ||
Patent #
US 7,698,131 B2
Filed 04/09/2007
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Phoenix Solutions Incorporated
|
Systems and methods for responding to natural language speech utterance | ||
Patent #
US 7,809,570 B2
Filed 07/07/2008
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
VoiceBox Technologies Inc.
|
SYSTEM AND METHOD FOR PROCESSING MULTI-MODAL DEVICE INTERACTIONS IN A NATURAL LANGUAGE VOICE SERVICES ENVIRONMENT | ||
Patent #
US 20100217604A1
Filed 02/20/2009
|
Current Assignee
Oracle International Corporation
|
Original Assignee
VoiceBox Technologies Inc.
|
SOCIAL NETWORK SYSTEMS AND METHODS | ||
Patent #
US 20100306249A1
Filed 05/27/2010
|
Current Assignee
John C. Forster
|
Original Assignee
John C. Forster
|
Partial speech processing device and method for use in distributed systems | ||
Patent #
US 7,729,904 B2
Filed 12/03/2004
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Phoenix Solutions Incorporated
|
Conversational computing via conversational virtual machine | ||
Patent #
US 7,729,916 B2
Filed 10/23/2006
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
International Business Machines Corporation
|
TECHNIQUE FOR CONTROLLING THE DOWNLOAD OF AN ELECTRONIC SERVICE GUIDE | ||
Patent #
US 20100095328A1
Filed 08/07/2006
|
Current Assignee
Telefonaktiebolaget LM Ericsson
|
Original Assignee
Telefonaktiebolaget LM Ericsson
|
VIDEO AND DIGITAL MULTIMEDIA AGGREGATOR | ||
Patent #
US 20100313215A1
Filed 08/16/2010
|
Current Assignee
Comcast IP Holdings I LLC
|
Original Assignee
Comcast IP Holdings I LLC
|
Disambiguating a speech recognition grammar in a multimodal application | ||
Patent #
US 7,822,608 B2
Filed 02/27/2007
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Nuance Communications Inc.
|
Semantic network methods to disambiguate natural language meaning | ||
Patent #
US 7,711,672 B2
Filed 12/27/2002
|
Current Assignee
DataCloud Technologies LLC
|
Original Assignee
QPS Tech LLC
|
INTELLIGENT HOME AUTOMATION | ||
Patent #
US 20100332235A1
Filed 06/29/2009
|
Current Assignee
Abraham Ben David
|
Original Assignee
Abraham Ben David
|
System and method for natural language processing of query answers | ||
Patent #
US 7,702,508 B2
Filed 12/03/2004
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Phoenix Solutions Incorporated
|
Apparatus for providing voice dialogue service and method of operating the same | ||
Patent #
US 7,734,461 B2
Filed 08/28/2006
|
Current Assignee
Samsung Electronics Co. Ltd.
|
Original Assignee
Samsung Electronics Co. Ltd.
|
Response generator for mimicking human-computer natural language conversation | ||
Patent #
US 7,783,486 B2
Filed 11/24/2003
|
Current Assignee
Roy Jonathan Rosser, Sheldon Braddock Sturges
|
Original Assignee
Roy Jonathan Rosser, Sheldon Braddock Sturges
|
APPARATUS AND METHOD FOR DETECTING VOICE BASED ON MOTION INFORMATION | ||
Patent #
US 20100277579A1
Filed 04/29/2010
|
Current Assignee
Samsung Electronics Co. Ltd.
|
Original Assignee
Samsung Electronics Co. Ltd.
|
SYSTEMS AND METHODS FOR RESPONDING TO NATURAL LANGUAGE SPEECH UTTERANCE | ||
Patent #
US 20100204986A1
Filed 04/22/2010
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
VoiceBox Technologies Inc.
|
MOBILE SYSTEMS AND METHODS FOR RESPONDING TO NATURAL LANGUAGE SPEECH UTTERANCE | ||
Patent #
US 20100145700A1
Filed 02/12/2010
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
VoiceBox Technologies Inc.
|
Method for processing speech data for a distributed recognition system | ||
Patent #
US 7,672,841 B2
Filed 05/19/2008
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Phoenix Solutions Incorporated
|
Automatically Ranking Multimedia Objects Identified in Response to Search Queries | ||
Patent #
US 20100299303A1
Filed 05/21/2009
|
Current Assignee
Oath Inc.
|
Original Assignee
Yahoo Inc.
|
SYSTEMS AND METHODS FOR SEARCHING AN INDEX | ||
Patent #
US 20100042603A1
Filed 08/15/2008
|
Current Assignee
Intelligent Language LLC
|
Original Assignee
Constantine Smyros, Athena A. Smyros
|
System and method for selecting and presenting advertisements based on natural language processing of voice-based input | ||
Patent #
US 7,818,176 B2
Filed 02/06/2007
|
Current Assignee
VB Assets LLC
|
Original Assignee
VoiceBox Technologies Inc.
|
Method and apparatus for determining the meaning of natural language | ||
Patent #
US 7,702,500 B2
Filed 11/24/2004
|
Current Assignee
Karen R. Blaedow
|
Original Assignee
Karen R. Blaedow
|
Intent based processing | ||
Patent #
US 7,707,267 B2
Filed 12/22/2004
|
Current Assignee
Microsoft Technology Licensing LLC
|
Original Assignee
Microsoft Corporation
|
Method and system for interactive conversational dialogue for cognitively overloaded device users | ||
Patent #
US 7,716,056 B2
Filed 09/27/2004
|
Current Assignee
Volkswagen Of America, Robert Bosch Corporation
|
Original Assignee
Volkswagen Of America, Robert Bosch Corporation
|
Query engine for processing voice based queries including semantic decoding | ||
Patent #
US 7,725,307 B2
Filed 08/29/2003
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Phoenix Solutions Incorporated
|
Speech based query system using semantic decoding | ||
Patent #
US 7,725,321 B2
Filed 06/23/2008
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Phoenix Solutions Incorporated
|
Using predictive user models for language modeling on a personal device with user behavior models based on statistical modeling | ||
Patent #
US 7,752,152 B2
Filed 03/17/2006
|
Current Assignee
Microsoft Technology Licensing LLC
|
Original Assignee
Microsoft Corporation
|
Methods and Systems for Query-Based Searching Using Spoken Input | ||
Patent #
US 20100228540A1
Filed 05/20/2010
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Phoenix Solutions Incorporated
|
SYSTEMS AND METHODS FOR RESPONDING TO NATURAL LANGUAGE SPEECH UTTERANCE | ||
Patent #
US 20100286985A1
Filed 07/19/2010
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
VoiceBox Technologies Inc.
|
Method and system to generate and deliver auto-assembled presentations based on queries of multimedia collections | ||
Patent #
US 7,836,110 B1
Filed 06/28/2005
|
Current Assignee
Medius Inc
|
Original Assignee
Medius Inc
|
SYSTEM AND METHOD FOR SELECTING AND PRESENTING ADVERTISEMENTS BASED ON NATURAL LANGUAGE PROCESSING OF VOICE-BASED INPUT | ||
Patent #
US 20100299142A1
Filed 07/30/2010
|
Current Assignee
VB Assets LLC
|
Original Assignee
VoiceBox Technologies Inc.
|
Dynamic natural language understanding | ||
Patent #
US 7,840,400 B2
Filed 11/21/2006
|
Current Assignee
INTELLIGATE LTD.
|
Original Assignee
INTELLIGATE LTD.
|
CONTEXTUAL VOICE COMMANDS | ||
Patent #
US 20100312547A1
Filed 06/05/2009
|
Current Assignee
Apple Inc.
|
Original Assignee
Apple Inc.
|
Method and System for Searching a Data Network by Using a Virtual Assistant and for Advertising by using the same | ||
Patent #
US 20090030800A1
Filed 01/31/2007
|
Current Assignee
Dan Grois
|
Original Assignee
Dan Grois
|
Adaptive and scalable method for resolving natural language ambiguities | ||
Patent #
US 7,475,010 B2
Filed 09/02/2004
|
Current Assignee
Piksel Incorporated
|
Original Assignee
Lingospot Inc.
|
MACHINE ASSISTED QUERY FORMULATION | ||
Patent #
US 20090006343A1
Filed 06/28/2007
|
Current Assignee
Microsoft Technology Licensing LLC
|
Original Assignee
Microsoft Corporation
|
Methods and apparatus for entity search | ||
Patent #
US 7,483,894 B2
Filed 05/22/2007
|
Current Assignee
Tamiras Per Pte Ltd LLC
|
Original Assignee
PLATFORMATION TECHNOLOGIES INC
|
Natural language processing method | ||
Patent #
US 20090076796A1
Filed 09/18/2007
|
Current Assignee
Elsevier Incorporated
|
Original Assignee
Ariadne Genomics Inc.
|
Virtual Keyboards in Multi-Language Environment | ||
Patent #
US 20090058823A1
Filed 02/11/2008
|
Current Assignee
Apple Inc.
|
Original Assignee
Apple Inc.
|
Systems and methods for responding to natural language speech utterance | ||
Patent #
US 7,502,738 B2
Filed 05/11/2007
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
VoiceBox Technologies Inc.
|
Search Assistant for Digital Media Assets | ||
Patent #
US 20090112647A1
Filed 10/26/2007
|
Current Assignee
Apple Inc.
|
Original Assignee
Apple Inc.
|
Methods and Apparatus for Entity Search | ||
Patent #
US 20090100049A1
Filed 12/17/2008
|
Current Assignee
Tamiras Per Pte Ltd LLC
|
Original Assignee
PLATFORMATION TECHNOLOGIES INC.
|
Method and system for analysis of intended meaning of natural language | ||
Patent #
US 7,526,466 B2
Filed 08/15/2006
|
Current Assignee
DataCloud Technologies LLC
|
Original Assignee
QPS Tech LLC
|
System and method for providing an intelligent multi-step dialog with a user | ||
Patent #
US 7,539,656 B2
Filed 03/06/2001
|
Current Assignee
Avolin LLC
|
Original Assignee
Consona CRM Incorporated
|
Method for processing speech using dynamic grammars | ||
Patent #
US 7,555,431 B2
Filed 03/02/2004
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Phoenix Solutions Incorporated
|
SYSTEM AND METHOD FOR PROVIDING A NATURAL LANGUAGE VOICE USER INTERFACE IN AN INTEGRATED VOICE NAVIGATION SERVICES ENVIRONMENT | ||
Patent #
US 20090150156A1
Filed 12/11/2007
|
Current Assignee
Cerence Inc.
|
Original Assignee
VoiceBox Technologies Corporation
|
Techniques for acquiring a set of digital media assets | ||
Patent #
US 20090144153A1
Filed 01/30/2009
|
Current Assignee
Apple Inc.
|
Original Assignee
Apple Inc.
|
Semantic Decoding of User Queries | ||
Patent #
US 20090157401A1
Filed 06/23/2008
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Ian M. Bennett
|
Communication-prompted user assistance | ||
Patent #
US 7,548,895 B2
Filed 06/30/2006
|
Current Assignee
Microsoft Technology Licensing LLC
|
Original Assignee
Microsoft Corporation
|
Methods and systems for authoring of mixed-initiative multi-modal interactions and related browsing mechanisms | ||
Patent #
US 7,546,382 B2
Filed 05/28/2002
|
Current Assignee
International Business Machines Corporation
|
Original Assignee
International Business Machines Corporation
|
METHOD AND APPARATUS FOR SEARCHING USING AN ACTIVE ONTOLOGY | ||
Patent #
US 20090164441A1
Filed 12/22/2008
|
Current Assignee
Apple Inc.
|
Original Assignee
Apple Inc.
|
SYSTEMS AND METHODS FOR RESPONDING TO NATURAL LANGUAGE SPEECH UTTERANCE | ||
Patent #
US 20090171664A1
Filed 02/04/2009
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
VoiceBox Technologies Corporation
|
Search engine with user activity memory | ||
Patent #
US 7,565,363 B2
Filed 11/19/2002
|
Current Assignee
Google LLC
|
Original Assignee
Mohammed S. Anwar
|
Systems, Methods and Computer Program Products for the Creation of Annotations for Media Content to Enable the Selective Management and Playback of Media Content | ||
Patent #
US 20090216805A1
Filed 02/25/2008
|
Current Assignee
International Business Machines Corporation
|
Original Assignee
International Business Machines Corporation
|
SYSTEM, DEVICE, AND METHOD FOR DELIVERING MULTIMEDIA | ||
Patent #
US 20090199230A1
Filed 08/01/2007
|
Current Assignee
Vecima Networks Incorporated
|
Original Assignee
Concurrent Computer Corporation
|
Search Engine Optimization | ||
Patent #
US 20090240674A1
Filed 03/17/2009
|
Current Assignee
Cxense ASA
|
Original Assignee
Ramp Holdings Incorporated
|
Dynamic search with implicit user intention mining | ||
Patent #
US 7,599,918 B2
Filed 12/29/2005
|
Current Assignee
Microsoft Technology Licensing LLC
|
Original Assignee
Microsoft Corporation
|
System and method of supporting adaptive misrecognition in conversational speech | ||
Patent #
US 7,620,549 B2
Filed 08/10/2005
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
VoiceBox Technologies Inc.
|
System and method for natural language processing of sentence based queries | ||
Patent #
US 7,624,007 B2
Filed 12/03/2004
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Phoenix Solutions Incorporated
|
Dynamic speech sharpening | ||
Patent #
US 7,634,409 B2
Filed 08/31/2006
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
VoiceBox Technologies Inc.
|
SYSTEM AND METHOD FOR AN INTEGRATED, MULTI-MODAL, MULTI-DEVICE NATURAL LANGUAGE VOICE SERVICES ENVIRONMENT | ||
Patent #
US 20090299745A1
Filed 05/27/2008
|
Current Assignee
Oracle International Corporation
|
Original Assignee
VoiceBox Technologies Corporation
|
Systems and methods for responding to natural language speech utterance | ||
Patent #
US 7,640,160 B2
Filed 08/05/2005
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
VoiceBox Technologies Inc.
|
Method and Apparatus for Managing Dialog Management in a Computer Conversation | ||
Patent #
US 20080015864A1
Filed 07/16/2007
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Nuance Communications Inc.
|
Global speech user interface | ||
Patent #
US 7,324,947 B2
Filed 09/30/2002
|
Current Assignee
Promptu Systems Corporation
|
Original Assignee
Promptu Systems Corporation
|
SPEECH RECOGNITION SYSTEM INTERACTIVE AGENT | ||
Patent #
US 20080021708A1
Filed 10/01/2007
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Nuance Communications Inc.
|
AUTHORIZED MOBILE CONTENT SEARCH RESULTS | ||
Patent #
US 20080009268A1
Filed 05/08/2006
|
Current Assignee
Jumptap Incorporated
|
Original Assignee
Jumptap Incorporated
|
Methods and Systems for Authoring of Mixed-Initiative Multi-Modal Interactions and Related Browsing Mechanisms | ||
Patent #
US 20080034032A1
Filed 10/12/2007
|
Current Assignee
International Business Machines Corporation
|
Original Assignee
Jennifer Healey, Stephane Maes, Alpana Tiwari, Rafah Hosn, Thiruvilvama Lai Raman
|
Multi-language speech recognition system | ||
Patent #
US 20080052063A1
Filed 10/31/2007
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Nuance Communications Inc.
|
Intent based processing | ||
Patent #
US 7,349,953 B2
Filed 12/22/2004
|
Current Assignee
Microsoft Technology Licensing LLC
|
Original Assignee
Microsoft Corporation
|
Middleware layer between speech related applications and engines | ||
Patent #
US 7,379,874 B2
Filed 12/05/2006
|
Current Assignee
Microsoft Technology Licensing LLC
|
Original Assignee
Microsoft Corporation
|
Method for processing speech signal features for streaming transport | ||
Patent #
US 7,376,556 B2
Filed 03/02/2004
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Phoenix Solutions Incorporated
|
GLOBAL SPEECH USER INTERFACE | ||
Patent #
US 20080120112A1
Filed 10/31/2007
|
Current Assignee
Promptu Systems Corporation
|
Original Assignee
Promptu Systems Corporation
|
Multimodal natural language query system and architecture for processing voice and proximity-based queries | ||
Patent #
US 7,376,645 B2
Filed 01/24/2005
|
Current Assignee
Portal Communications LLC
|
Original Assignee
The Intellection Group Inc.
|
Speech based learning/training system using semantic decoding | ||
Patent #
US 7,392,185 B2
Filed 06/25/2003
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Phoenix Solutions Incorporated
|
Knowledge-based flexible natural speech dialogue system | ||
Patent #
US 7,386,449 B2
Filed 12/11/2003
|
Current Assignee
Voice Enabling Systems Technology Incorporated
|
Original Assignee
Voice Enabling Systems Technology Incorporated
|
Document Searching Tool and Method | ||
Patent #
US 20080140657A1
Filed 02/02/2006
|
Current Assignee
British Telecommunications PLC
|
Original Assignee
British Telecommunications PLC
|
Natural language query processing | ||
Patent #
US 7,403,938 B2
Filed 09/20/2002
|
Current Assignee
IAC Search Media Incorporated
|
Original Assignee
IAC Search Media Incorporated
|
Systems and methods for responding to natural language speech utterance | ||
Patent #
US 7,398,209 B2
Filed 06/03/2003
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
VoiceBox Technologies Inc.
|
Natural language processing interface | ||
Patent #
US 7,409,337 B1
Filed 03/30/2004
|
Current Assignee
Microsoft Technology Licensing LLC
|
Original Assignee
Microsoft Corporation
|
Interactive, Internet-based, trip planning, travel resource, travel community, virtual travel, travel-based education, travel-related gaming and virtual/live tour system, methods, and processes, emphasizing a user's ability to tailor complete travel, trip, route, game and touring choices to unique user-specified personal interests, preferences, and special requirements for self and companions | ||
Patent #
US 20080201227A1
Filed 11/07/2007
|
Current Assignee
Charles Adams Bakewell, Lucia Urban Bakewell
|
Original Assignee
Charles Adams Bakewell, Lucia Urban Bakewell
|
Personal virtual assistant | ||
Patent #
US 7,415,100 B2
Filed 05/04/2004
|
Current Assignee
Avaya Incorporated
|
Original Assignee
Avaya Incorporated
|
System and method for supporting interactive user interface operations and storage medium | ||
Patent #
US 7,426,467 B2
Filed 07/23/2001
|
Current Assignee
Sony Corporation
|
Original Assignee
Sony Corporation
|
Hierarchical Methods and Apparatus for Extracting User Intent from Spoken Utterances | ||
Patent #
US 20080221903A1
Filed 05/22/2008
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
International Business Machines Corporation
|
SPEECH-CENTRIC MULTIMODAL USER INTERFACE DESIGN IN MOBILE TECHNOLOGY | ||
Patent #
US 20080228496A1
Filed 03/15/2007
|
Current Assignee
Microsoft Technology Licensing LLC
|
Original Assignee
Microsoft Corporation
|
METHOD FOR DIALOG MANAGEMENT | ||
Patent #
US 20080247519A1
Filed 06/17/2008
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
ATT Inc.
|
Natural language interface control system | ||
Patent #
US 7,447,635 B1
Filed 10/19/2000
|
Current Assignee
Sony Electronics Inc., Sony Corporation
|
Original Assignee
Sony Electronics Inc., Sony Corporation
|
Speech dialogue system for dialogue interruption and continuation control | ||
Patent #
US 7,454,351 B2
Filed 01/26/2005
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Harman Becker Automotive Systems GmbH
|
Method For Transporting Speech Data For A Distributed Recognition System | ||
Patent #
US 20080300878A1
Filed 05/19/2008
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Nuance Communications Inc.
|
METHOD AND SYSTEM FOR SEARCHING FOR DIGITAL ASSETS | ||
Patent #
US 20080301128A1
Filed 06/02/2008
|
Current Assignee
Getty Images Incorporated
|
Original Assignee
Getty Images Incorporated
|
Hierarchical methods and apparatus for extracting user intent from spoken utterances | ||
Patent #
US 20070055529A1
Filed 08/31/2005
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
International Business Machines Corporation
|
Distributed internet based speech recognition system with natural language support | ||
Patent #
US 7,203,646 B2
Filed 05/22/2006
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Phoenix Solutions Incorporated
|
Semantic object synchronous understanding implemented with speech application language tags | ||
Patent #
US 7,200,559 B2
Filed 05/29/2003
|
Current Assignee
Microsoft Technology Licensing LLC
|
Original Assignee
Microsoft Corporation
|
Flexible speech-activated command and control | ||
Patent #
US 20070088556A1
Filed 10/17/2005
|
Current Assignee
Microsoft Technology Licensing LLC
|
Original Assignee
Microsoft Corporation
|
Speech recognition system trained with regional speech characteristics | ||
Patent #
US 7,225,125 B2
Filed 01/07/2005
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Phoenix Solutions Incorporated
|
Natural-language voice-activated personal assistant | ||
Patent #
US 7,216,080 B2
Filed 09/26/2001
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Mindfabric Holdings LLC
|
Result-based triggering for presentation of online content | ||
Patent #
US 20070112740A1
Filed 07/31/2006
|
Current Assignee
Adobe Inc.
|
Original Assignee
Mercado Software Ltd.
|
Method and apparatus for building an intelligent automated assistant | ||
Patent #
US 20070100790A1
Filed 09/08/2006
|
Current Assignee
Apple Inc.
|
Original Assignee
Apple Inc.
|
Dynamic natural language understanding | ||
Patent #
US 7,216,073 B2
Filed 03/13/2002
|
Current Assignee
INTELLIGATE LTD.
|
Original Assignee
INTELLIGATE LTD.
|
Menu-driven voice control of characters in a game environment | ||
Patent #
US 7,233,904 B2
Filed 04/13/2006
|
Current Assignee
Sony Interactive Entertainment LLC
|
Original Assignee
Sony Computer Entertainment America
|
DATABASE ACCESS SYSTEM | ||
Patent #
US 20070156677A1
Filed 02/19/2007
|
Current Assignee
Relativity Display LLC
|
Original Assignee
Alberti Anemometer LLC
|
SYSTEMS AND METHODS FOR CLASSIFYING AND TRANSFERRING INFORMATION IN A STORAGE NETWORK | ||
Patent #
US 20070185917A1
Filed 11/28/2006
|
Current Assignee
CommVault Systems Incorporated
|
Original Assignee
CommVault Systems Incorporated
|
Speech recognition system interactive agent | ||
Patent #
US 7,277,854 B2
Filed 01/07/2005
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Phoenix Solutions Incorporated
|
Intent based processing | ||
Patent #
US 7,290,039 B1
Filed 02/27/2001
|
Current Assignee
Microsoft Technology Licensing LLC
|
Original Assignee
Microsoft Corporation
|
Method and apparatus for processing natural language | ||
Patent #
US 5,434,777 A
Filed 03/18/1994
|
Current Assignee
Apple Inc.
|
Original Assignee
Apple Computer Incorporated
|
Accessing network-based electronic information through scripted online interfaces using spoken input | ||
Patent #
US 6,513,063 B1
Filed 03/14/2000
|
Current Assignee
IPA Technologies Inc.
|
Original Assignee
SRI International Inc.
|
Natural language understanding system | ||
Patent #
US 5,794,050 A
Filed 10/02/1997
|
Current Assignee
Cognition Technologies Inc.
|
Original Assignee
INTELLIGENT TEXT PROCESSING INC.
|
Learning method and system based on questioning | ||
Patent #
US 6,501,937 B1
Filed 07/02/1999
|
Current Assignee
Hanger Solutions LLC
|
Original Assignee
Mindfabric Holdings LLC
|
Method and apparatus for automation of directory assistance using speech recognition | ||
Patent #
US 5,479,488 A
Filed 02/08/1994
|
Current Assignee
Bell Canada
|
Original Assignee
Bell Canada
|
Dynamic predictive keyboard | ||
Patent #
US 5,128,672 A
Filed 10/30/1990
|
Current Assignee
Apple Inc.
|
Original Assignee
Apple Computer Incorporated
|
Highly scalable software-based architecture for communication and cooperation among distributed electronic agents | ||
Patent #
US 7,069,560 B1
Filed 03/17/1999
|
Current Assignee
IPA Technologies Inc.
|
Original Assignee
SRI International Inc.
|
Voice actuation with contextual learning for intelligent machine control | ||
Patent #
US 6,895,380 B2
Filed 03/02/2001
|
Current Assignee
Electro Standards Laboratories
|
Original Assignee
Electro Standards Laboratories
|
Navigating network-based electronic information using spoken input with multimodal error feedback | ||
Patent #
US 6,742,021 B1
Filed 03/13/2000
|
Current Assignee
IPA Technologies Inc.
|
Original Assignee
SRI International Inc.
|
Interactive user interface using speech recognition and natural language processing | ||
Patent #
US 6,499,013 B1
Filed 09/09/1998
|
Current Assignee
Apple Inc.
|
Original Assignee
One Voice Technologies Incorporated
|
Application of personality models and interaction with synthetic characters in a computing system | ||
Patent #
US 6,526,395 B1
Filed 12/31/1999
|
Current Assignee
Intel Corporation
|
Original Assignee
Intel Corporation
|
Command boundary identifier for conversational natural language | ||
Patent #
US 6,453,292 B2
Filed 10/28/1998
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
International Business Machines Corporation
|
Using a community of distributed electronic agents to support a highly mobile, ambient computing environment | ||
Patent #
US 7,036,128 B1
Filed 08/09/2000
|
Current Assignee
IPA Technologies Inc.
|
Original Assignee
SRI International Inc.
|
Information retrieval method with natural language interface | ||
Patent #
US 6,778,951 B1
Filed 08/09/2000
|
Current Assignee
Aspect Software Incorporated
|
Original Assignee
Concerto Software Incorporated
|
Ontology-based parser for natural language processing | ||
Patent #
US 7,027,974 B1
Filed 10/27/2000
|
Current Assignee
Leidos Inc.
|
Original Assignee
Science Applications International Corporation
|
Voice-activated call placement systems and methods | ||
Patent #
US 7,127,046 B1
Filed 03/22/2002
|
Current Assignee
Google LLC
|
Original Assignee
Verizon Laboratories Incorporated, GTE Intelligent Network Services Incorporated
|
Intelligent query engine for processing voice based queries | ||
Patent #
US 6,615,172 B1
Filed 11/12/1999
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Phoenix Solutions Incorporated
|
Speech-enabled server for internet website and method | ||
Patent #
US 7,050,977 B1
Filed 11/12/1999
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Phoenix Solutions Incorporated
|
Mobile navigation of network-based electronic information using spoken input | ||
Patent #
US 6,757,718 B1
Filed 06/30/2000
|
Current Assignee
IPA Technologies Inc.
|
Original Assignee
SRI International Inc.
|
Unified messaging methods and systems for communication and cooperation among distributed agents in a computing environment | ||
Patent #
US 6,691,151 B1
Filed 11/15/1999
|
Current Assignee
IPA Technologies Inc.
|
Original Assignee
SRI International Inc.
|
Adjustable resource based speech recognition system | ||
Patent #
US 7,139,714 B2
Filed 01/07/2005
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Phoenix Solutions Incorporated
|
Natural language processor | ||
Patent #
US 6,980,949 B2
Filed 03/14/2003
|
Current Assignee
Holy Grail Technologies Incorporated
|
Original Assignee
Sonim Technologies Inc.
|
Interactive speech based learning/training system formulating search queries based on natural language parsing of recognized user queries | ||
Patent #
US 6,665,640 B1
Filed 11/12/1999
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Phoenix Solutions Incorporated
|
Method and apparatus for processing natural language | ||
Patent #
US 5,608,624 A
Filed 05/15/1995
|
Current Assignee
Apple Inc.
|
Original Assignee
Apple Computer Incorporated
|
Automated database assistance using a telephone for a speech based or text based multimedia communication mode | ||
Patent #
US 6,996,531 B2
Filed 03/30/2001
|
Current Assignee
Amazon Technologies
|
Original Assignee
Comverse Limited
|
Personal virtual assistant | ||
Patent #
US 6,757,362 B1
Filed 03/06/2000
|
Current Assignee
Avaya Incorporated
|
Original Assignee
Avaya Incorporated
|
Extensible software-based architecture for communication and cooperation within and between communities of distributed agents and distributed objects | ||
Patent #
US 6,859,931 B1
Filed 03/17/1999
|
Current Assignee
IPA Technologies Inc.
|
Original Assignee
SRI International Inc.
|
Distributed realtime speech recognition system | ||
Patent #
US 6,633,846 B1
Filed 11/12/1999
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Phoenix Solutions Incorporated
|
System, method, and article of manufacture for agent-based navigation in a speech-based data navigation system | ||
Patent #
US 6,523,061 B1
Filed 06/30/2000
|
Current Assignee
IPA Technologies Inc.
|
Original Assignee
SRI International Inc.
|
Voice mail system with personal assistant provisioning | ||
Patent #
US 6,792,082 B1
Filed 09/13/1999
|
Current Assignee
Mavenir Ltd.
|
Original Assignee
Comverse Limited
|
Computer-implemented system and method for analyzing search queries | ||
Patent #
US 20060053095A1
Filed 09/07/2004
|
Current Assignee
SAS Institute Incorporated
|
Original Assignee
SAS Institute Incorporated
|
Information directory system | ||
Patent #
US 7,047,233 B1
Filed 10/25/2000
|
Current Assignee
Todays Pages Limited
|
Original Assignee
Todays Pages Limited
|
Interactive music playlist sharing system and methods | ||
Patent #
US 20060143236A1
Filed 12/29/2005
|
Current Assignee
Concert Technology Corporation
|
Original Assignee
Bandwidth Productions Inc.
|
Emotion detection device & method for use in distributed systems | ||
Patent #
US 20060122834A1
Filed 12/05/2005
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Nuance Communications Inc.
|
User interaction with voice information services | ||
Patent #
US 20060143007A1
Filed 10/31/2005
|
Current Assignee
Microsoft Technology Licensing LLC
|
Original Assignee
Microsoft Technology Licensing LLC
|
Natural language machine interface | ||
Patent #
US 7,062,428 B2
Filed 03/13/2001
|
Current Assignee
Canon Kabushiki Kaisha
|
Original Assignee
Canon Kabushiki Kaisha
|
Intelligent portal engine | ||
Patent #
US 7,092,928 B1
Filed 07/31/2001
|
Current Assignee
OL Security LLC
|
Original Assignee
Quantum Leap Research Inc.
|
Ergonomic man-machine interface incorporating adaptive pattern recognition based control system | ||
Patent #
US 7,136,710 B1
Filed 06/06/1995
|
Current Assignee
Hoffberg Family Trust 2
|
Original Assignee
STEVEN M. HOFFBERG 2004-1 GRAT
|
Conversational computing via conversational virtual machine | ||
Patent #
US 7,137,126 B1
Filed 10/01/1999
|
Current Assignee
Uniloc 2017 LLC
|
Original Assignee
International Business Machines Corporation
|
Techniques for acquiring a media season of digital media assets | ||
Patent #
US 20060248114A1
Filed 03/07/2006
|
Current Assignee
Apple Inc.
|
Original Assignee
Apple Computer Incorporated
|
Method and apparatus for content personalization over a telephone interface with adaptive personalization | ||
Patent #
US 6,842,767 B1
Filed 02/24/2000
|
Current Assignee
Microsoft Technology Licensing LLC
|
Original Assignee
Tellme Networks Incorporated
|
Software-based architecture for communication and cooperation among distributed electronic agents | ||
Patent #
US 6,851,115 B1
Filed 01/05/1999
|
Current Assignee
IPA Technologies Inc.
|
Original Assignee
SRI International Inc.
|
Search query processing to identify related search terms and to correct misspellings of search terms | ||
Patent #
US 20050071332A1
Filed 11/03/2004
|
Current Assignee
A9.com Incorporated
|
Original Assignee
Ruben Ernesto Ortega, Dwayne Edward Bowman
|
Distributed real time speech recognition system | ||
Patent #
US 20050080625A1
Filed 10/10/2003
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Nuance Communications Inc.
|
Multi-access mode electronic personal assistant | ||
Patent #
US 6,895,558 B1
Filed 02/11/2000
|
Current Assignee
Microsoft Technology Licensing LLC
|
Original Assignee
Microsoft Corporation
|
Multi-language speech recognition system | ||
Patent #
US 20050119897A1
Filed 01/07/2005
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
Nuance Communications Inc.
|
Mobile office with speech recognition | ||
Patent #
US 6,928,614 B1
Filed 10/13/1998
|
Current Assignee
Visteon Global Technologies Incorporated
|
Original Assignee
Visteon Global Technologies Incorporated
|
Apparatus and method for processing natural language | ||
Patent #
US 6,937,975 B1
Filed 09/22/1999
|
Current Assignee
Canon Kabushiki Kaisha
|
Original Assignee
Canon Kabushiki Kaisha
|
System and method for multi-modal focus detection, referential ambiguity resolution and mood classification using multi-modal input | ||
Patent #
US 6,964,023 B2
Filed 02/05/2001
|
Current Assignee
International Business Machines Corporation
|
Original Assignee
International Business Machines Corporation
|
System and method for implementing a natural language user interface | ||
Patent #
US 6,691,111 B2
Filed 06/13/2001
|
Current Assignee
Blackberry Limited
|
Original Assignee
Blackberry Limited
|
Intelligent assistant for use with a local computer and with the internet | ||
Patent #
US 6,735,632 B1
Filed 12/02/1999
|
Current Assignee
Creative Technology Ltd.
|
Original Assignee
ASSOCIATIVE COMPUTING INC.
|
Method and apparatus for content personalization over a telephone interface | ||
Patent #
US 6,807,574 B1
Filed 10/22/1999
|
Current Assignee
Microsoft Technology Licensing LLC
|
Original Assignee
Tellme Networks Incorporated
|
Video and digital multimedia aggregator | ||
Patent #
US 20030028889A1
Filed 08/03/2001
|
Current Assignee
Comcast IP Holdings I LLC
|
Original Assignee
Comcast IP Holdings I LLC
|
Network interactive user interface using speech recognition and natural language processing | ||
Patent #
US 6,532,444 B1
Filed 10/05/1998
|
Current Assignee
Apple Inc.
|
Original Assignee
One Voice Technologies Incorporated
|
Information retrieval by natural language querying | ||
Patent #
US 6,601,026 B2
Filed 09/17/1999
|
Current Assignee
Microsoft Technology Licensing LLC
|
Original Assignee
Discern Communications Inc.
|
Search engine with user activity memory | ||
Patent #
US 20030123443A1
Filed 11/19/2002
|
Current Assignee
Google LLC
|
Original Assignee
Mohammed S. Anwar
|
Natural language interface for searching database | ||
Patent #
US 6,598,039 B1
Filed 06/08/1999
|
Current Assignee
Go Albert France
|
Original Assignee
Albert-Inc. SA
|
Integrated voice access to a variety of personal information services | ||
Patent #
US 6,650,735 B2
Filed 09/27/2001
|
Current Assignee
Microsoft Technology Licensing LLC
|
Original Assignee
Microsoft Corporation
|
Distributed monitoring system providing knowledge services | ||
Patent #
US 20020065802A1
Filed 05/30/2001
|
Current Assignee
Hottolink Incorporated
|
Original Assignee
Hottolink Incorporated
|
Method and apparatus for searching a database and providing relevance feedback | ||
Patent #
US 20020073079A1
Filed 12/13/2000
|
Current Assignee
ZNOW Inc.
|
Original Assignee
ZNOW Inc.
|
Apparatus for and method of disambiguation of directory listing searches utilizing multiple selectable secondary search keys | ||
Patent #
US 6,421,672 B1
Filed 07/27/1999
|
Current Assignee
Google LLC
|
Original Assignee
Verizon Services Corporation
|
Object interactive user interface using speech recognition and natural language processing | ||
Patent #
US 6,434,524 B1
Filed 10/05/1999
|
Current Assignee
Apple Inc.
|
Original Assignee
One Voice Technologies Incorporated
|
Voice interactive web-based agent system responsive to a user location for prioritizing and formatting information | ||
Patent #
US 6,446,076 B1
Filed 11/19/1998
|
Current Assignee
Knapp Investment Company Limited
|
Original Assignee
Accenture LLP
|
System and method for retrieving information pertaining to product | ||
Patent #
US 20020152200A1
Filed 02/02/2001
|
Current Assignee
Sabic Innovative Plastics BV
|
Original Assignee
Sabic Innovative Plastics BV
|
Method and system for dynamically synthesizing a computer program by differentially resolving atoms based on user context data | ||
Patent #
US 6,188,999 B1
Filed 09/30/1999
|
Current Assignee
At Home Bondholders Liquidating Trust
|
Original Assignee
At Home Company Limited
|
Speech control of multiple applications using applets | ||
Patent #
US 6,233,559 B1
Filed 04/01/1998
|
Current Assignee
Google Technology Holdings LLC
|
Original Assignee
Motorola Inc.
|
Voice user interface with personality | ||
Patent #
US 6,334,103 B1
Filed 09/01/2000
|
Current Assignee
Eloqui Voice Systems LLC
|
Original Assignee
General Magic Inc.
|
Natural language processing system and method for processing input information by predicting kind thereof | ||
Patent #
US 6,052,656 A
Filed 06/21/1995
|
Current Assignee
Canon Kabushiki Kaisha
|
Original Assignee
Canon Kabushiki Kaisha
|
Ergonomic man-machine interface incorporating adaptive pattern recognition based control system | ||
Patent #
US 6,081,750 A
Filed 06/06/1995
|
Current Assignee
Hoffberg Family Trust 2
|
Original Assignee
Steven Mark Hoffberg, Linda Irene Hoffberg-Borghesani
|
Intelligent assistant for use with a local computer and with the internet | ||
Patent #
US 6,088,731 A
Filed 04/24/1998
|
Current Assignee
Creative Technology Ltd.
|
Original Assignee
ASSOCIATIVE COMPUTING INC.
|
Voice user interface with personality | ||
Patent #
US 6,144,938 A
Filed 05/01/1998
|
Current Assignee
Intellectual Ventures Assets 31 LLC
|
Original Assignee
Sun Microsystems Incorporated
|
Automated natural language understanding customer service system | ||
Patent #
US 5,895,466 A
Filed 08/19/1997
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
ATT Inc.
|
Interactive voice recognition method and apparatus using affirmative/negative content discrimination | ||
Patent #
US 5,899,972 A
Filed 09/29/1995
|
Current Assignee
Seiko Epson Corporation
|
Original Assignee
Seiko Epson Corporation
|
System and method for accelerated query evaluation of very large full-text databases | ||
Patent #
US 5,915,249 A
Filed 06/14/1996
|
Current Assignee
At Home Bondholders Liquidating Trust
|
Original Assignee
Excite Inc.
|
Statistical natural language understanding using hidden clumpings | ||
Patent #
US 5,987,404 A
Filed 01/29/1996
|
Current Assignee
International Business Machines Corporation
|
Original Assignee
International Business Machines Corporation
|
Agent based instruction system and method | ||
Patent #
US 5,727,950 A
Filed 05/22/1996
|
Current Assignee
Convergys Customer Management Group Incorporated
|
Original Assignee
NetSage Corp
|
Multimodal natural language interface for cross-application tasks | ||
Patent #
US 5,748,974 A
Filed 12/13/1994
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
International Business Machines Corporation
|
System and method for querying multiple, distributed databases by selective sharing of local relative significance information for terms related to the query | ||
Patent #
US 5,826,261 A
Filed 05/10/1996
|
Current Assignee
Excite Inc.
|
Original Assignee
Graham Spencer
|
Anticipated meaning natural language interface | ||
Patent #
US 5,682,539 A
Filed 09/29/1994
|
Current Assignee
LEVERANCE INC.
|
Original Assignee
Charles Cosby, Donovan Conrad
|
Information retrieval system and method with implementation extensible query architecture | ||
Patent #
US 5,577,241 A
Filed 12/07/1994
|
Current Assignee
At Home Bondholders Liquidating Trust
|
Original Assignee
Excite Inc.
|
Natural language analyzing apparatus and method | ||
Patent #
US 5,386,556 A
Filed 12/23/1992
|
Current Assignee
International Business Machines Corporation
|
Original Assignee
International Business Machines Corporation
|
Knowledge information processing system | ||
Patent #
US 5,282,265 A
Filed 11/25/1992
|
Current Assignee
Canon Kabushiki Kaisha
|
Original Assignee
Canon Kabushiki Kaisha
|
Adaptive natural language computer interface system | ||
Patent #
US 4,974,191 A
Filed 07/31/1987
|
Current Assignee
Syntellect Software Incorporated
|
Original Assignee
Syntellect Software Incorporated
|
Natural language personal information management | ||
Patent #
US 20070282595A1
Filed 06/06/2006
|
Current Assignee
Microsoft Technology Licensing LLC
|
Original Assignee
Microsoft Corporation
|
Activity Participation Based On User Intent | ||
Patent #
US 20110306426A1
Filed 06/10/2010
|
Current Assignee
Microsoft Technology Licensing LLC
|
Original Assignee
Microsoft Corporation
|
Intelligent Automated Assistant | ||
Patent #
US 20120016678A1
Filed 01/10/2011
|
Current Assignee
Apple Inc.
|
Original Assignee
Apple Inc.
|
ACOUSTIC MODEL ADAPTATION USING GEOGRAPHIC INFORMATION | ||
Patent #
US 20120022869A1
Filed 09/30/2011
|
Current Assignee
Google LLC
|
Original Assignee
Google Inc.
|
Removing Noise From Audio | ||
Patent #
US 20120002820A1
Filed 06/30/2010
|
Current Assignee
Google LLC
|
Original Assignee
Google Inc.
|
System and method for a cooperative conversational voice user interface | ||
Patent #
US 8,073,681 B2
Filed 10/16/2006
|
Current Assignee
VB Assets LLC
|
Original Assignee
VoiceBox Technologies Inc.
|
Conversational computing via conversational virtual machine | ||
Patent #
US 8,082,153 B2
Filed 08/20/2009
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
International Business Machines Corporation
|
METHODS AND SYSTEMS FOR ENHANCED PLACEMENT SEARCH ENGINE BASED ON USER USAGE | ||
Patent #
US 20120005181A1
Filed 06/30/2010
|
Current Assignee
Emergency 24 Incorporated
|
Original Assignee
Emergency 24 Incorporated
|
Translating Languages | ||
Patent #
US 20120035908A1
Filed 09/29/2011
|
Current Assignee
Google LLC
|
Original Assignee
Google Inc.
|
Automatically Monitoring for Voice Input Based on Context | ||
Patent #
US 20120035931A1
Filed 09/29/2011
|
Current Assignee
Google LLC
|
Original Assignee
Google Inc.
|
Word-Level Correction of Speech Input | ||
Patent #
US 20120022868A1
Filed 09/30/2011
|
Current Assignee
Google LLC
|
Original Assignee
Google Inc.
|
Disambiguating Input Based on Context | ||
Patent #
US 20120035932A1
Filed 08/06/2010
|
Current Assignee
Google LLC
|
Original Assignee
Google Inc.
|
Removing Noise From Audio | ||
Patent #
US 20120020490A1
Filed 09/30/2011
|
Current Assignee
Google LLC
|
Original Assignee
Google Inc.
|
Voice Actions on Computing Devices | ||
Patent #
US 20120022876A1
Filed 09/30/2011
|
Current Assignee
Google Inc.
|
Original Assignee
Google Inc.
|
Automatically Monitoring for Voice Input Based on Context | ||
Patent #
US 20120034904A1
Filed 08/06/2010
|
Current Assignee
Google LLC
|
Original Assignee
Google Inc.
|
DISAMBIGUATION OF CONTACT INFORMATION USING HISTORICAL DATA | ||
Patent #
US 20120022874A1
Filed 09/30/2011
|
Current Assignee
Google LLC
|
Original Assignee
Google Inc.
|
GEOTAGGED ENVIRONMENTAL AUDIO FOR ENHANCED SPEECH RECOGNITION ACCURACY | ||
Patent #
US 20120022870A1
Filed 09/30/2011
|
Current Assignee
Google LLC
|
Original Assignee
Google Inc.
|
Multimodal disambiguation of speech recognition | ||
Patent #
US 8,095,364 B2
Filed 07/02/2010
|
Current Assignee
Cerence Inc.
|
Original Assignee
Tegic Communications Inc.
|
Method and apparatus for providing a virtual assistant to a communication participant | ||
Patent #
US 8,107,401 B2
Filed 11/15/2004
|
Current Assignee
Avaya Incorporated
|
Original Assignee
Avaya Incorporated
|
DISAMBIGUATING INPUT BASED ON CONTEXT | ||
Patent #
US 20120035924A1
Filed 07/20/2011
|
Current Assignee
Google LLC
|
Original Assignee
Google Inc.
|
Speech and Noise Models for Speech Recognition | ||
Patent #
US 20120022860A1
Filed 09/30/2011
|
Current Assignee
Google LLC
|
Original Assignee
Google Inc.
|
Location-Based Searching | ||
Patent #
US 20120023088A1
Filed 09/30/2011
|
Current Assignee
Google Inc.
|
Original Assignee
Google Inc.
|
Navigation Queries | ||
Patent #
US 20120022787A1
Filed 09/30/2011
|
Current Assignee
Google Inc.
|
Original Assignee
Google Inc.
|
SYSTEM AND METHOD FOR A COOPERATIVE CONVERSATIONAL VOICE USER INTERFACE | ||
Patent #
US 20120022857A1
Filed 10/03/2011
|
Current Assignee
VB Assets LLC
|
Original Assignee
VoiceBox Technologies Inc.
|
System and method for user-specific speech recognition | ||
Patent #
US 8,112,275 B2
Filed 04/22/2010
|
Current Assignee
Nuance Communications Inc.
|
Original Assignee
VoiceBox Technologies Inc.
|
Method and system for improvement of relevance of search results | ||
Patent #
US 8,200,663 B2
Filed 04/25/2008
|
Current Assignee
ChaCha Search Inc.
|
Original Assignee
ChaCha Search Inc.
|
Context-based interests in computing environments and systems | ||
Patent #
US 8,554,767 B2
Filed 12/23/2008
|
Current Assignee
Samsung Electronics Co. Ltd.
|
Original Assignee
Samsung Electronics Co. Ltd.
|
Display of videos based on referrers | ||
Patent #
US 8,918,330 B1
Filed 01/20/2010
|
Current Assignee
Google LLC
|
Original Assignee
Google Inc.
|
21 Claims
-
1. A method for processing a search request, the method comprising:
-
receiving a search request from an electronic device, the search request including one or more search criteria; searching a database in accordance with the one or more search criteria to obtain search results, the database including digital asset information pertaining to a plurality of digital media assets and the search results corresponding to different digital media assets; monitoring usage of the electronic device to determine usage data, wherein monitoring the usage includes determining a level of completion of a digital media asset consumed by the electronic device; determining, based on the level of completion of the digital media asset consumed by the electronic device, that a particular type of digital media asset is of more interest to a user of the electronic device compared to another type of digital media asset when the level of completion of the digital media asset consumed by the electronic device has exceeded a trigger point of the digital media asset, wherein the trigger point indicates a position in the digital media asset; ranking the search results based at least in part on the usage data and the particular type of digital media asset determined to be of more interest to the user compared to the other type of digital media asset, wherein ranking the search results includes increasing a ranking for digital media assets belonging to the determined particular type of digital media assets compared to digital media assets of the other type within the search results; and presenting the ranked search results via the electronic device. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
-
-
15. A computer readable memory encoded with a set of program instructions that, when executed, causes a processor to execute a method, the method comprising:
-
receiving a search request from an electronic device, the search request including one or more search criteria; searching a database in accordance with the one or more search criteria to obtain search results, the database including digital asset information pertaining to a plurality of digital media assets and the search results corresponding to different digital media assets; monitoring usage of the electronic device to determine usage data, wherein monitoring the usage includes determining a level of completion of a digital media asset consumed by the electronic device; determining, based on the level of completion of the digital media asset consumed by the electronic device, that a particular type of digital media asset is of more interest to a user of the electronic device compared to another type of digital media asset when the level of completion of the digital media asset consumed by the electronic device has exceeded a trigger point of the digital media asset, wherein the trigger point indicates a position in the digital media asset; ranking the search results based at least in part on the usage data and the particular type of digital media asset determined to be of more interest to the user compared to the other type of digital media asset, wherein ranking the search results includes increasing a ranking for digital media assets belonging to the determined particular type of digital media assets compared to digital media assets of the other type within the search results; and presenting the ranked search results via the electronic device. - View Dependent Claims (16, 17, 18, 19, 20, 21)
-
1 Specification
Computerized searching is commonly used for searching through electronic files or searching of the World Wide Web. Searching can be performed using key words supplied by a user that is requesting a search. Upon receiving the key words for the search, a computer can perform a search for matching electronic files.
The results of the search are typically presented as a list of electronic files that include the keyword that has been searched. The electronic files in the list can be referred to as matching electronic files. The ordering of the matching electronic files within the list can be random, alphabetical, or by attribute (e.g., date, size, popularity or user rating). The results of the search are the same regardless of the user initiating the search.
Mobile computing devices are typically dependent upon network availability to access network-based resources (e.g., electronic files on the World Wide Web) or to communicate with other remote computing devices. Many users rely on constant network access to be able to communicate with other computing devices. With wireless networks, network access can be unavailable at certain locations or when there is an excess amount of network congestion. Network unavailability can frustrate users because the mobile computing devices have substantially curtailed capabilities when network access is unavailable.
Thus, there is a need for improved techniques to operate a computing device, such as a mobile computing device, so that search and/or network access capabilities are enhanced.
The invention pertains to improved techniques for using usage data. The usage data can pertain to a user of an electronic device. The usage data can be monitored and recorded on the electronic device. The improved techniques are particularly useful when the electronic device is a mobile electronic device. In one embodiment, the usage data can be used to enhance searching of digital assets, such as digital media assets, resident at a local or remote repository. In another embodiment, the usage data can be used to determine content to be resident locally on the electronic device. In still another embodiment, the usage data can be used to present (e.g., display) information on the electronic device.
The invention can be implemented in numerous ways, including as a method, system, device, apparatus (including computer readable medium and graphical user interface). Several embodiments of the invention are discussed below.
As a method for providing digital media content to an electronic device, one embodiment can, for example, include at least monitoring usage of a first digital media asset having a plurality of levels or chapters, and comparing the usage of the first digital media asset to at least one trigger point. The embodiment can also include retrieving additional digital media data for use on the electronic device if the comparing determines that the usage of the first digital media asset exceeds the at least one trigger point.
As a computer readable storage medium, the computer readable storage medium can include at least computer program code executable by an electronic device to provide digital media content to the electronic device. According to one embodiment, the computer program code stored on the computer readable storage medium can, for example, include at least computer program code for monitoring usage of a first digital media asset having a plurality of levels or chapters, computer program code for comparing the usage of the first digital media asset to at least one trigger point, and computer program code for retrieving additional digital media data for use on the electronic device if the computer program code for comparing determines that the usage of the first digital media asset exceeds the at least one trigger point.
As a method for processing a user search, one embodiment can, for example, include at least receiving a user search request from an electronic device, where the user search request includes one or more search criteria. The embodiment also can include searching a database in accordance with the one or more search criteria to obtain search results, where the database includes digital asset information pertaining to a plurality of digital media assets. Furthermore, the embodiment can include accessing usage data pertaining to the electronic device or its user, ranking the search results based at least in part on the usage data, and presenting the ranked search results via the electronic device.
As a computer readable storage medium, the computer readable storage medium can include at least computer program code executable by an electronic device for processing a user search. According to one embodiment, the computer program code stored on the computer readable storage medium can, for example, include at least computer program code for receiving a user search request from an electronic device, the user search request including search one or more search criteria; computer program code for searching a database in accordance with the one or more search criteria to obtain search results, the database including digital asset information pertaining to a plurality of digital media assets; computer program code for accessing usage data pertaining to the electronic device or its user; computer program code for ranking the search results based at least in part on the usage data; and computer program code for presenting the ranked search results via the electronic device.
Other aspects and advantages of the invention will become apparent from the following detailed description taken in conjunction with the accompanying drawings which illustrate, by way of example, the principles of the invention.
The invention will be readily understood by the following detailed description in conjunction with the accompanying drawings, wherein like reference numerals designate like elements, and in which:
The invention pertains to improved techniques for using usage data. The usage data can pertain to a user of an electronic device. The usage data can be monitored and recorded on the electronic device. The improved techniques are particularly useful when the electronic device is a mobile electronic device. In one embodiment, the usage data can be used to enhance searching of digital assets, such as digital media assets, resident at a local or remote repository. In another embodiment, the usage data can be used to determine content to be resident locally on the electronic device. In still another embodiment, the usage data can be used to present (e.g., display) information on the electronic device.
The electronic device can, for example, be a computing device. Examples of a computing device include a personal computer (e.g., desktop computer, notebook computer, netbook computer, etc.), or a portable handheld electronic device (e.g., Portable Digital Assistant (PDA), portable media player, multi-function mobile telephone, etc.).
Several embodiments of the invention are discussed below with reference to
Electronic devices, in particular mobile electronic devices, have limited data storage capacity and users do not always plan ahead to have all the needed electronic data resident on their mobile electronic device. Network access, if available, enables access to digital data from anywhere via a network that would otherwise not be readily available. However, if network access is unreliable or unavailable, a user that has not properly planned ahead may be stuck in a situation where desired or needed data is unavailable. Also, if systems are desirous of providing data to users of mobile electronic devices, these systems are also dependent on network availability.
According to one aspect, predictive digital data acquisition can be used on electronic devices, in particular, mobile electronic devices. The predictive digital data acquisition can be used to acquire and at least temporarily store digital data that may be later desired, needed, promoted or offered. The prediction of digital data to be provided on a mobile electronic device can be determined using usage data that has been obtained through monitoring usage of the mobile electronic device. Thus, even though network access (e.g., wireless network) is unavailable, a user of a mobile electronic device is able to access digital data, such as digital assets, that have been predicatively stored on the mobile electronic device.
The digital data being predicatively acquired and stored can be considered to be cached at an electronic device, such as a mobile electronic device. A cache represents data storage that is provided for reduced memory access times. The digital data being “cached” can pertain to a plurality of digital assets, which can represent one or more types of digital assets.
One example of predictive digital data acquisition is for audiobooks. Usage data can, for example, concern data that is obtained by monitoring a user'"'"'s usage of an e-book (or audiobook). In such an example, the usage data can estimate where the user is in “reading” the e-book via an electronic device. When the usage data indicates that the reader is nearing the end of the e-book, the predictive digital data acquisition can operate to acquire related digital data from one or more remote servers. The related digital data can be received via a network and stored on the electronic device. Thereafter, some or all of the related digital data can be presented to the user via the electronic device. The user can then subsequently preview, purchase, play, or review some or all of the related digital data without being then dependent on network availability. For instance, as a user completes a first e-book, a second e-book can be pre-stored on the electronic device in advance of any user request for such digital data. Hence, the second e-book is readily available at the electronic device regardless of network availability.
Another example of predictive digital data acquisition is for software games. Usage data can, for example, concern data that is obtained by monitoring a user'"'"'s usage of a software game to estimate where the user is in “completing” the software game via an electronic device. When the usage data indicates that the user is close to “completing” the software game (such as approaching the end of the software game or approaching the need for another level, tool, feature, etc.), the predictive digital data acquisition can operate to acquire related digital data from one or more remote servers. The related digital data can be received and stored on the electronic device in advance and when the network is available. Thereafter, some or all of the related digital data can be utilized with the software game to the user via the electronic device. The user can then upgrade the software game or install another software game (e.g., a sequel game, a recommended game, etc.) using the related digital data efficiently without any need for network availability. For instance, as a user completes a first software game, an extension to the first software game or a second software game can be pre-stored on the electronic device in advance of any user request for such digital data.
Yet another example of predictive digital data acquisition is for podcasts or television shows. Usage data can, for example, concern data that is obtained by monitoring a user'"'"'s usage of a particular podcast or television show. The usage data can estimate where the user is in viewing (or playback) of the particular podcast or television show via an electronic device (e.g., play position). When the usage data indicates that the user is nearing the end of the particular podcast or television show, the predictive digital data acquisition can operate to acquire related digital data from one or more remote servers. For example, the related digital data can pertain to a next or subsequent podcast or television show. The related digital data can be received via a network and stored on the electronic device. Thereafter, some or all of the related digital data can be presented to the user via the electronic device. The user can then preview, purchase, play, review some or all of the related digital data without being then dependent on network availability. For instance, as a user completes an episode or television show, a next episode or television show can be pre-stored on the electronic device in advance of any user request for such digital data such that it is available when the user completes the episode or television show.
More generally, as another example, usage data can be used to customize recommendations for a user. The user'"'"'s electronic device can then operate to acquire digital data associated with the recommendations. The recommendations can be of various different kinds of digital data. A recommendation can also be for a preview of a digital media asset.
The digital asset access system 100 also makes use of a network 104. The network 104 can include one or more wired networks and/or one or more wireless networks to facilitate data transfer between the online media server 102 and one more user computing devices 106.
According to one embodiment, the user computing devices 106 can each independently monitor usage data. The usage data can be stored and thus reside on the user computing device 106 and/or on the online media server 102 (or some other remote storage device). The usage data can be utilized to customize digital assets (or sets thereof) being provided to the particular user computing device 106. The determination of the customized digital assets can be performed at the user computing device 106 or at the online media server 102.
As one example, during a search through a plurality of digital assets, the usage data associated with the particular user computing device 106 that initiated the search can have the results of the search presented at the user computing device 106 such that the search results are customized for the user. For example, the user data associated with the user computing device 106 may indicate that the associated user is more interested in digital assets pertaining to television (TV) shows than digital assets pertaining to music. Hence, for such a user, the associated user computing device 106 can present the search results such that the TV shows within the results of the search can be more prominently presented to the user via the user computing device 106.
As another example, user computing device 106 can monitor usage data to intelligently maintain predicted digital assets on the user computing device 106. Here, in one embodiment, a portion of the local digital storage available to store digital assets at the user computing device 106 can be utilized to store digital assets that are predicted to be of potential interest to the user associated with the user computing device 106. In this case, those predicted digital assets can vary as the user data varies. In one implementation, the predicted digital assets can be acquired from the online media server 102 and electronically downloaded to the user computing device 106. The downloading of the predicted digital assets can be performed in a background mode since the user has at this time not made a specific request for these predicted digital assets.
The user computing device 200 includes a central controller 202. The central controller 202, for example, can include a central processing unit (CPU). The central controller 202 can include support for media playback. Namely, the central controller 202 can include or operate to provide a media play module 204. The media play module 204 can operate to play a digital asset, such as a digital media asset, on the user computing device 200.
The user computing device 200 can include a local data storage 206. The local data storage 206 can store one or more digital assets, such as digital media assets. The media play module 204 can be controlled by the central controller 202 to play one or more of the digital assets stored in the local data storage 206. The output of the media play module 204 can be directed by the central controller 202 to an output device 208. An input device 210, such as a user input device, can be used to supply user inputs to the central controller 202 to designate a digital asset to be played by the media play module 204. The input device 210 can also be used to provide other user inputs to the central controller 202.
The user computing device 200 can also include a network interface 212. The network interface 212 can enable the user computing device 200 to interact with an online media server via a network, such as the online media server 102 and network 104 illustrated in
The user computing device 200 can also include a usage monitor 214. The usage monitor 214 is provided within the user computing device 200 to monitor usage by a user of the user computing device 200. In doing so, the usage monitor 214 can record usage data 216. The usage data 216 can, in one embodiment, be stored within the usage monitor 214 as shown in
The user computing device 200 can also include a predicted asset manager 218. The predicted asset manager 218 can predict one or more digital assets that are likely to be of interest to the user of the user computing device 200. The predicted asset manager 218 can make use of the usage data 216 acquired by the usage monitor 214. The usage data 216 can be acquired and manipulated or updated over time to provide a reliable data set used to predict digital assets likely to be of interest to the user. These predicted digital assets can be obtained from a remote server, such as the online media server 102 via the network interface 212. Upon receiving the predicted digital assets, the predicted digital assets can be stored to the local data storage 206. Typically, as noted above, a portion of the local data storage 206 can be dedicated to storage of predicted digital assets. Hence, it may be necessary to delete or remove a portion of the predicted digital assets previously stored in the dedicated portion of the local data storage 206 so that more recently predicted digital assets can be stored in the portion of the local data storage 206.
The current user position 252 for the digital asset can be included within the usage data associated with the user of the user computing device that is consuming (e.g., playing) the digital asset being represented by the digital asset representation 250. The usage monitor 214 can track and record the current user position 252. In addition, the usage monitor 214 can also support one or more trigger points for a given digital asset. The trigger points are positions of a playback or usage of a digital asset. Typically, although not necessarily, the one or more trigger points are provided towards the end of a consumption of the digital asset. For example, a near end marker 254 can be associated with the digital asset. When the current user position 252 exceeds the near end marker 254, it can be denoted that the usage of the digital asset is nearing completion. In such cases, the usage monitor 214 can signal the predictive asset manager 208. The predicted asset manager 208 can then operate to acquire one or more related digital assets that are related to the digital asset being consumed.
The predicted asset manager 218 can cause predicted digital assets to be obtained from a remote media server and stored to a portion of the local data storage 206. For example, the predicted asset manager 218 can predict (e.g., using a trigger point, such as a near-end marker 254) that the user will soon desire to acquire information about a related digital asset to the digital asset being consumed. Hence, one or more related digital assets can be obtained from a remote server and downloaded via the network interface 212 to the local data storage 216 where the one or more related digital assets can reside at least temporarily in the event that the user computing device 200 (by user request or programmatic request) attempts to access such digital assets.
Thereafter, by another subsequent trigger point, by programmatic request or by user request, the central controller 202 can, for example, cause customized information to be presented to the user by way of the output device 208. For example, the output device 208 can present information about other digital assets that are related to the digital asset being consumed. Here, the one or more related digital assets obtained in advance by the predicted asset manager 218 can be accessed from the local data storage 206 by the central controller 202 and presented on the output device 208.
The data acquisition process 300 can monitor 302 usage of a first digital media asset. Here, as the first digital media asset is being consumed at the user computing device, the usage thereof can be monitored 302. Usage can be evaluated based on the usage data. In one embodiment, the usage is as to a particular digital media asset (e.g., the first digital media asset); however, in other embodiments, usage can be generally applicable to a user or a category of digital assets. The usage monitoring 302 can cause usage data to be stored at the user computing device. Next, a decision 304 can determine whether usage has reached a trigger point. As an example, a trigger point can correspond to a near-end trigger point or an end trigger. When the decision 304 determines that usage has not reached a trigger point, a decision 306 can determine whether the data acquisition process 300 should quit. When the decision 306 determines that the data acquisition process 300 should quit, the data acquisition process 300 can end. Alternatively, when the decision 306 determines that the data acquisition process 300 should not quit, the data acquisition process 300 returns to repeat the block 302 and subsequent blocks so that usage of the first digital media asset can be continuously monitored 302.
Once the decision 304 determines that usage has reached a trigger point, additional digital media data affiliated with the first digital media asset can be determined 308. Although the nature of the affiliation can differ depending upon implementation, in one example, the first digital media asset can pertain to an audio e-book and the additional digital media data can pertain to an audio e-book from the same author. As another example, the first digital media asset can pertain to a television show and the additional digital media data can pertain to a subsequent show of the same television series.
After the additional digital media data has been determined 308, the additional digital media data can be retrieved 310. For example, the additional digital media data can be retrieved 310 from a remote media server, such as the online media server 102. The additional digital media data can then be stored 312 in local storage (e.g., local data storage 206). Following block 312, the data acquisition process 300 can return to repeat the block 302 and subsequent blocks so that usage can be monitored and so that appropriate additional digital media data can be determined, retrieved and stored so that it is readily accessible from the local storage at the user computing device.
The data retrieval process 400 can monitor 402 usage of a first digital media asset at the user computing device. A decision 404 can determine whether usage of the first digital media asset being monitored 402 has exceeded a near-end mark. A near-end mark is one implementation of a trigger point, where the trigger point is positioned near the end of a digital media asset. For example, a near-end trigger point can be provided at any position of a digital media asset that is prior to its end. Typically, the position of the near-end trigger depends on the particular type of digital media asset and how fast it is (or can be) consumed. In a first example, a user might be progressing slowly through a digital media asset (e.g., audiobook, game), while another user might progress faster through a digital media asset. Here, in the first example, the near-end trigger for the “fast progressor” would perhaps be set further from the end than then the near-end trigger for the “slow progressor”. In a second example, a digital media asset having of 30 minutes duration can use a trigger point that is farther from its end point as a percentage of its content than would, in one embodiment, be the case for another digital media asset having 3 hours duration.
When the decision 404 determines that usage of the first digital media asset has exceeded the near-end mark, additional digital media data affiliated with the first digital media asset can be determined 406. The additional digital media data can be retrieved 408 from a remote storage. For example, the remote storage can pertain to any network-accessible data storage device or system. The additional digital media data can be stored 410 in the local data storage of the user computing device.
Thereafter, a decision 412 can determine whether usage of the digital media asset had exceeded an end-mark. When the decision 412 determines that usage has exceeded the end mark, a decision 414 can determine whether additional digital media data is already stored in local storage. When the decision 414 determines that the additional digital media data is stored in local storage, the data retrieval process 400 returns to repeat the block 402 and subsequent blocks. Also, when the decision 412 determines when the usage has not exceeded an end mark, the data retrieval process 400 can also return to repeat the block 402.
On the other hand, when the additional digital media data is available from local storage, at least a portion of the additional digital media data can be retrieved from the local storage. The retrieved data can then be presented 418. Here, the retrieved data can pertain to data that was previously predicted to be of interest to the user of the user computing device and thus pre-stored in the user computing device. Hence, the retrieved data can be presented 418 to the user by way of the user computing device, such as by displaying the retrieved data or by playing the retrieved data.
In one implementation, the presentation 418 of the retrieved data can present to the user an opportunity to purchase at least a portion of the retrieved data. In this regard, a decision 420 can determine whether a purchase request with respect to the retrieved data has been received. When the decision 420 determines that a purchase request has been received, purchase of at least a portion of the retrieved data can be initiated 422. A decision 424 can then determine whether purchase of the at least a portion of the retrieved data has been successful. When the decision 424 determines that the purchase has been successful, the data retrieval process 400 can operate to enable 426 use of the at least a portion of the retrieved data.
On the other hand, when the decision 424 determines that purchase of at least the portion of the retrieved data has not been successful, an error message can be displayed 428. Typically, the error message would be displayed at the user computing device. Following the block 426 or following the block 428, and as well as following the decision 420 if a purchase request is not received, a decision 430 can determine whether the data retrieval process 400 should quit. When the decision 430 determines that the data retrieval process 400 should not quit, the data retrieval process 400 can return to repeat the block 402 and subsequent blocks so that the data retrieval process 400 can be continuously performed. However, it should be noted that in other embodiments, the data retrieval process 400 need only be occasionally or less frequently performed. Alternatively, when the decision 430 determines that the data retrieval process 400 should quit, the data retrieval process 400 can end.
Conventionally, searches of digital assets are not performed differently for different users. That is, the search results are the same regardless of the user requesting the search. However, it may be advantageous to provide search results that are customized for particular users, whereby the search results can differ for different users. Hence, according to another aspect, improved search processing can be provided by customizing search results based on characteristics, interests, tendencies or preferences of particular users. In one embodiment, a search of digital assets being requested by a user can be performed in view of usage data associated with the requesting user. For example, results of a search can be ranked in accordance with the usage data. The usage data can result from monitoring usage of an electronic device (e.g., mobile electronic device).
The user computing device 500 can include a local data storage 506. The local data storage 506 can store one or more digital assets, such as digital media assets. Those digital media assets stored to the local data storage 506 can be referred to as a local media library.
The media search module 504 can be controlled by the central controller 502 to search through the digital assets stored in the local data storage 206 (i.e., the local media library). The search results from the media search module 504 can be directed by the central controller 502 to an output device 508. An input device 510, such as a user input device, can be utilized by the central controller 502 to designate one or more search criteria to be used by the media search module 504. The input device 510 can also be used to provide other user inputs to the central controller 502.
The user computing device 500 can also include a network interface 512. The network interface 512 can enable the user computing device 500 to interact with online media server via a network, such as the online media server 102 and the network 104 illustrated in
The user computing device 50 can also include a usage monitor 514. The usage monitor 514 is provided within the user computing device 500 to monitor usage by the user of the user computing device 500. In doing so, the usage monitor 514 can record usage data 516. The usage data 516 can be stored with in the usage monitor 514 as shown in
The customized search process 600 can present 602 a search graphical user interface (GUI) on the electronic device. The search GUI enables a user to request a user search. Typically, a user would interact with the search GUI to enter one or more search criteria into one or more user input regions prior to requesting that a search be performed. After the search GUI has been presented 602, a decision 604 can determine whether a user search request has been received at electronic device. When the decision 604 determines that a user search request has not been received, a decision 606 can determine whether the customized search process 600 should quit. When the decision 606 determines that the customized search process 600 should quit, the customized search process 600 can end. Alternatively, when the decision 606 determines that the customized search process 600 should not quit, then the customized search process 600 returns to repeat the block 602 and subsequent blocks so that the user has the ability to interact with the search GUI to provide a user search request.
Once the decision 604 determines that a user search request has been received, usage data pertaining to the electronic device or its user can be accessed 608. Next, a search for digital media assets that match the user search request can be initiated 610. After a search has been initiated 610, a decision 612 can determine whether search results have been received. When the decision 612 determines that search results have not yet been received, the customized search process 600 can await such search results.
On the other hand, when the decision 612 determines that search results have been received, the search results can be ranked 614 based in part on the usage data. The usage data can, upon evaluation, suggest content that is more likely to be of interest to the user of the electronic device. Hence, these search results can be ranked 614 such that those of the digital assets within the search results that are more likely to be of interest to the user (e.g., based on the usage data) can be ranked higher than other digital assets within the search results. Thereafter, the ranked search results can be presented 616. For example, the ranked search results can be displayed on a display device associated with the electronic device. After the ranked search results have been presented 616, the customized search process 600 can end. However, in some embodiments, prior to ending the customized search process 600, additional processing could be performed to present additional ones of the ranked search results, to preview one or more of the digital assets within the ranked search results, and/or to purchase one or more of the digital assets within the ranked search results.
In the customized search process 600, the search results can be ranked 614 at the electronic device (e.g., user computing device 106) after the search results are received. Alternatively, the search and the ranking can be performed by a remote server prior to returning the search results to the electronic device.
Another aspect of the invention is a search graphical user interface (GUI). The search GUI can facilitate a user requesting a search and/or presenting results of a search to the user.
The facet region 704 can also include a reset facet 716. Upon user selection of the recent facet 716, all the facets 706-714 can all reset to their default state, as illustrated in
Still further, the search GUI 700 can also include a results region 718. Here, the results of a search that has been performed in accordance with a search text string provided in the search text string box 702 as well as in accordance with the plurality of facets within the facet region 704. The results of the search can be presented in the results region 718 in a variety of different ways. For example, the results of the search can be presented as a list of matching digital assets, namely digital media assets. As discussed above, the results of the search can be ranked in accordance with usage data. However, as illustrated, since the search text string box 702 is empty, no search has been performed and thus the results region 718 is empty.
Although the facets 706-714 discussed above in
The various aspects, features, embodiments or implementations of the invention described above can be used alone or in various combinations.
Embodiments of the invention can, for example, be implemented by software, hardware, or a combination of hardware and software. Embodiments of the invention can also be embodied as computer readable code on a computer readable medium. The computer readable medium is any data storage device that can store data which can thereafter be read by a computer system. Examples of the computer readable medium generally include read-only memory and random-access memory. More specific examples of computer readable medium are tangible and include Flash memory, EEPROM memory, memory card, CD-ROM, DVD, hard drive, magnetic tape, and optical data storage device. The computer readable medium can also be distributed over network-coupled computer systems so that the computer readable code is stored and executed in a distributed fashion.
Numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, it will become obvious to those skilled in the art that the invention may be practiced without these specific details. The description and representation herein are the common meanings used by those experienced or skilled in the art to most effectively convey the substance of their work to others skilled in the art. In other instances, well-known methods, procedures, components, and circuitry have not been described in detail to avoid unnecessarily obscuring aspects of the present invention.
In the foregoing description, reference to “one embodiment” or “an embodiment” means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase “in one embodiment” in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Further, the order of blocks in process flowcharts or diagrams representing one or more embodiments of the invention do not inherently indicate any particular order nor imply any limitations in the invention.
The many features and advantages of the present invention are apparent from the written description. Further, since numerous modifications and changes will readily occur to those skilled in the art, the invention should not be limited to the exact construction and operation as illustrated and described. Hence, all suitable modifications and equivalents may be resorted to as falling within the scope of the invention.