Method, system and software for digital media narrative personalization

• US 8,478,645 B2
• Filed: 04/07/2004
• Issued: 07/02/2013
• Est. Priority Date: 04/07/2003
• Status: Active Grant

• Current Assignee: 10Tales, Inc.
• Original Assignee: Sevenecho, LLC
• Inventors: Russek, David J.
• Primary Examiner(s): CHAMPAGNE, DONALD
• Application Number:
  US10/819,404
• Publication Number:
  US 20040267816A1
• Time in Patent Office: 3,373 Days
• Field of Search: 705/14.53, 705/14.55, 705/14.56, 705/14.66
• US Class Current: 705/14.66
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/58 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9536 Search customisation based on social or collaborative filtering
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06Q 30/00 Commerce
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0271 Personalized advertisement
• CPC Class Codes: G06Q 30/0277 Online advertisement
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G06V 20/41 Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items segmenting video sequences G06V20/49
• CPC Class Codes: H04N 21/25883 being end-user demographical data, e.g. age, family status or address arrangements for identifying locations of users in broadcast systems H04H60/52
• CPC Class Codes: H04N 21/4126 The peripheral being portable, e.g. PDAs or mobile phones
• CPC Class Codes: H04N 21/4312 involving specific graphical features, e.g. screen layout, special fonts or colors, blinking icons, highlights or animations
• CPC Class Codes: H04N 21/44218 Detecting physical presence or behaviour of the user, e.g. using sensors to detect if the user is leaving the room or changes his face expression during a TV program methods or arrangements for recognising human body or animal bodies or body parts G06V40/10; methods or arrangements for acquiring or recognising human faces, facial parts, facial sketches, facial expressions G06V40/16; methods or arrangements for recognising movements or behaviour G06V40/20; arrangements for identifying users in broadcast systems H04H60/45
• CPC Class Codes: H04N 21/4532 involving end-user characteristics, e.g. viewer profile, preferences monitoring of user activities for profile generation for accessing a video database G06F16/739; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/4788 communicating with other users, e.g. chatting arrangements for providing for computer conferences, e.g. chat rooms, to substation in data switching networks H04L12/1813; distributed application using peer-to-peer [P2P] networks H04L67/104
• CPC Class Codes: H04N 21/6125 involving transmission via Internet transmission by internet of broadcast information H04H60/82
• CPC Class Codes: H04N 21/812 involving advertisement data advertising per se G06Q30/02

Abstract

Disclosed are a system, method and software to allow individuals or groups of individuals to view personalized digital media narrative. A personal attribute profile is created and stored for each individual and the profile is retrieved each time the individual enters the network or site. The digital media narrative contains digital media assets having attributes selected based upon the individual'"'"'s or group'"'"'s profile. The digital media narrative provides an enhanced, more impacting, and more personal narrative experience to the individual.

Claims

1. In a networked environment with a content server and an associated database providing audio-visual content to a plurality of receiving devices, a method for providing personalized digital media narrative assets, the method comprising:

receiving a first data communication from a first user device, wherein the first data communication comprises a first user identification associated with a first user;

retrieving a first user profile from the associated database based on the first user identification, wherein the first user profile comprises a plurality of first user attributes and a personality classification associated with the first user, wherein the personality classification is associated with a personality test;

initiating transmission of audio-visual content as an audio-visual program stream from the content server to a receiving device associated with the first user;

using a computer to detect a presence of an embedded personalization trigger point within the audio-visual content;

executing, based on the detection of the embedded personalization trigger point, one or more program steps which result in generation and transmission of a query to the first user;

receiving a first user response to the query comprising a second data communication from the first user device;

updating the first user profile based on the first user response to create an updated first user profile stored within the associated database;

selecting, based on the updated first user profile, at least one first personalized digital asset for presentation to the first user;

inserting the selected at least one first personalized digital asset into the audio-visual program stream to create a personalized audio-visual program stream; and

transmitting the personalized audio-visual program stream to the first user.

2. The method of claim 1, further comprising:

receiving a plurality of other data communications from a plurality of other user devices, wherein each other data communication comprises a second user identification associated with a second user;

for each of the received other data communications;

retrieving a second user profile from the associated database based on the second user identification, wherein the second user profile comprises a plurality of second user attributes,

initiating transmission of second audio-visual content as a second audio-visual program stream from the content server to a receiving device associated with the second user,

detecting a presence of an other embedded personalization trigger point within the second audio-visual content,

executing, based on the detection of the other embedded personalization trigger point, one or more program steps which result in generation and transmission of a second query to the second user,

receiving a second user response to the second query comprising a second communication from the user device,

updating the second user profile based on the second user response to create an updated second user profile stored within the associated database,

selecting, based on the updated second user profile, at least one second digital asset for presentation to the second user,

inserting the selected at least one second digital asset into the second audio-visual program stream to create a personalized second audio-visual program stream, and

transmitting the personalized second audio-visual program stream to the second user;

determining one or more affinities based on the user responses of the plurality of users; and

updating the first user profile based on the determined affinities for the plurality of users.

3. The method of claim 1, wherein:

the query comprises an interactive opportunity where the user may select content to appear in a program; and

the updating comprises including an affinity based on the user'"'"'s selected content in the first user profile.

4. The method of claim 1, further comprising:

selecting, based on the detection of the trigger point and the first user profile, digital media content for inclusion in the personalized audio-visual program stream; and

including the digital media content in the personalized audio-video program stream.

5. The method of claim 1, wherein selecting at least one first personalized digital asset comprises selecting at least one first personalized digital asset based on the personality classification.