Creating and managing portable user preferences for personalizion of media consumption from device to device

• US 20030004934A1
• Filed: 06/29/2001
• Published: 01/02/2003
• Est. Priority Date: 06/29/2001
• Status: Abandoned Application

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Qian, Richard
• Application Number:
  US09/895,431
• Publication Number:
  US 20030004934A1
• Time in Patent Office: Days
• US Class Current: 707/3
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: H04N 21/258 Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data arrangements for services using the result on the distributing side of broadcast systems H04H60/66; profiles in network data switching protocols H04L67/30
• CPC Class Codes: H04N 21/4182 for identification purposes, e.g. storing user identification data, preferences, personal settings or data restricting access to computer systems by authenticating users using a predetermined code in combination with an additional device, e.g. dongle or smart card G06F21/123
• CPC Class Codes: H04N 21/454 Content or additional data filtering, e.g. blocking advertisements
• CPC Class Codes: H04N 21/4622 Retrieving content or additional data from different sources, e.g. from a broadcast channel and the Internet web site content organization and management for information retrieval from the Internet G06F16/958; transmission by internet of broadcast information H04H60/82; stock exchange data over packet-switching network H04L12/1804; push services including data channel over packet-switching network H04L12/1859
• CPC Class Codes: H04N 21/4667 Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
• CPC Class Codes: H04N 21/4755 for defining user preferences, e.g. favourite actors or genre retrieval personalisation and generation of user profiles for the retrieval of video data G06F16/739; user profiles in network data switching protocols H04L67/306
• CPC Class Codes: H04N 21/4782 Web browsing , e.g. WebTV
• CPC Class Codes: H04N 7/163 by receiver means only

Abstract

A method and apparatus are provided for creating and managing portable user preferences for personalized media consumption. According to one embodiment of the present invention, a set of user information is captured and stored on a portable medium, such as a smart card, compatible with various media devices. Such use of a portable medium makes the information accessible to multiple devices. Finally, the portable medium may used to tailor user preferences according to the device chosen by the user, and may be dynamically updated as user preferences change.

Claims

1. A method comprising:

identifying a user, wherein the user inserting a smart card into a device selected from a plurality of devices;

identifying the device;

identifying user preferences associated with the device;

tracking user pattern and gathering usage data;

analyzing the usage data;

configuring the analyzed data; and

updating the user preferences.

2. The method of claim 1 further comprising retrieving an identification template from a template database for the identifying the user and the identifying the device.

3. The method of claim 1 further comprising retrieving a user preference template corresponding to the device from a plurality of user preference templates corresponding to the plurality of devices from the template database for the identifying the user preferences and for the updating the user preferences by updating the corresponding user preferences template using the configured data.

4. The method of claim 1 further comprising retrieving a user history template corresponding to the device from a plurality of user history templates corresponding to the plurality of devices from the template database for the tracking the user pattern and the gathering the usage data.

5. The method of claim 1, wherein the tracking the user pattern is based on a predetermined criteria.

6. The method of claim 1, wherein the analyzing the usage data comprising analyzing text associated with a media program, wherein the text including closed caption information and articles.

7. The method of claim 1, wherein the analyzing the usage data comprising analyzing audio information associated with the media program, wherein the audio information including words, phrases, and audio expressions.

8. The method of claim 1, wherein the analyzing the usage data comprising analyzing video, wherein the video comprising sequence of motion associated with the media program.

9. The method of claim 1, wherein the plurality of devices comprising multiple types of media devices including a television, a computer, a PDA, a cellular phone, a portable media player, a web terminal, and a set-top box.

10. The method of claim 9 further comprising displaying the stored data using the plurality of devices, wherein the stored data is adjustable in accordance with display requirements of the plurality of devices.

11. The method of claim 1, wherein the updating the user preferences comprising dynamically updating the user preferences.

13. The method of claim 12, wherein the configuring the analyzed data further comprising:

parsing the analyzed data; and

associating the parsed data with a common descriptor, wherein the common descriptor is a word or a phrase descriptive of the content associated with the parsed data.

14. The method of claim 12 further comprising:

retrieving a plurality of user history templates corresponding to the plurality of devices;

generating an integrated user history template by integrating the plurality of corresponding user history templates for integrating the configured data; and

filtering the integrated data.

15. The method of claim 12 further comprising storing the integrated data.

16. The method of claim 15 further comprising displaying the stored data using a plurality of devices, wherein the stored data is adjustable in accordance with display requirements of the plurality of devices.

18. The system of claim 17 further comprising:

the management and configuration module for parsing the analyzed data;

the management and configuration module for associating the parsed data with a common descriptor, wherein the common descriptor is a word or a phrase descriptive of the content associated with the parsed data;

an integration module for filtering and integrating the configured data using an integrated user history templates;

updating the user preferences; and

storing the integrated data.

19. The system of claim 17, wherein the template database is associated with at least one of a plurality of sources including the smart card, the issuer, and the plurality of devices.

20. The system of claim 17, wherein the plurality of devices comprising multiple types of media devices including a television, a computer, a PDA, a cellular phone, a portable media player, a web terminal, and a set-top box.

12. A method comprising:

identifying a user, wherein the user inserting a smart card into a plurality of devices;

identifying the plurality of devices;

identifying user preferences associated with the plurality of devices;

tracking user pattern and gathering usage data;

analyzing the usage data;

configuring the analyzed data;

integrating the configured data; and

updating the user preferences.

17. A system for updating user preferences for personalization media consumption from device to devices comprising:

an identification template retrieved from a template database for identifying a user, wherein the user inserting a smart card issued by an issuer into at least one of a plurality of devices;

the identification template for identifying the at least one of the plurality of devices;

a user preference template corresponding to the at least one of the plurality of devices from a plurality of user preference templates corresponding to the plurality of devices retrieved from the template database for identifying user preferences associated with the device;

a user history template corresponding to the at least one of the plurality of devices from a plurality of user history templates corresponding to the plurality of devices from the template database for tracking user pattern and gathering usage data;

an analyzer for analyzing the usage data, wherein the analyzer comprising a text analyzer for analyzing text associated with a media program, an audio analyzer for analyzing audio associated with the media program, and a video analyzer for analyzing sequence of motion associated with the media program;

a management and configuration module for configuring the analyzed data;

updating the user preferences; and

storing the configured data.

21. A machine-readable medium having stored thereon data representing sequences of instructions, the sequences of instructions which, when executed by a processor, cause the processor to:

identify a user, wherein the user inserts a smart card into a device selected from a plurality of devices;

identify the device;

identify user preferences associated with the device;

track user pattern and gather usage data;

analyze the usage data;

configure the analyzed data; and

update the user preferences.

22. The machine-readable medium of claim 21, wherein the sequences of instructions further cause the processor to:

retrieve an identification template from a template database.

23. The machine-readable medium of claim 21, wherein the sequences of instructions further cause the processor to:

retrieve a user preference template corresponding to the device from a plurality of user preference templates corresponding to the plurality of devices from the template database.

24. The machine-readable medium of claim 21, wherein the sequences of instructions further cause the processor to:

retrieve a user history template corresponding to the device from a plurality of user history templates corresponding to the plurality of devices from the template database.

25. The machine-readable medium of claim 21, wherein the sequences of instructions further cause the processor to:

analyze text associated with a media program, wherein the text includes closed caption information and articles;

analyze audio associated with the media program, wherein the audio includes words, phrases, and audio expressions;

analyze video associated with the media program, wherein the video includes sequence of motion associated with the media program.

26. The machine-readable medium of claim 21, wherein the plurality of devices comprises multiple types of media devices including a television, a computer, a PDA, a cellular phone, a portable media player, a web terminal, and a set-top box.

27. The machine-readable medium of claim 21, wherein the update the user preferences comprises dynamically update the user preferences.

29. The machine-readable medium of claim 28, wherein the sequences of instructions further cause the processor to:

parse the analyzed data; and

associate the parsed data with a common descriptor, wherein the common descriptor is a word or a phrase descriptive of the content associated with the parsed data.

30. The machine-readable medium of claim 28, wherein the sequences of instructions further cause the processor to:

retrieve a plurality of user history templates corresponding to the plurality of devices;

generate an integrated user history template by integrating the plurality of corresponding user history templates; and

filter the integrated data.

28. A machine-readable medium having stored thereon data representing sequences of instructions, the sequences of instructions which, when executed by a processor, cause the processor to:

identify a user, wherein the user inserting a smart card into a plurality of devices;

identify the plurality of devices;

identify user preferences associated with the plurality of devices;

track user pattern and gathering usage data;

analyze the usage data;

configure the analyzed data;

integrate the configured data; and

update the user preferences.