Intertrust Technologies Corporation

University of California

Kasian Franks

Raf Podowski

Cornelia A Myers

Mike Muldoon

A computer implemented method and system that generates a video playlist having recommended videos based on a user query object is disclosed. A user query object is used to search for a number of web pages. Summaries are generated for the returned web page search results. Valuable terms and phrases from those summaries may be extracted and used to search video storage sites based on the original user query. Playable videos returned from the video storage sites may be compared to the user query or to the extracted terms and phrases in order to rank the videos, and the most relevant videos may be returned. Those videos may be displayed to the user as a playlist in an Internet browser having an embedded video player.

Media discovery and playlist generation

A computer-implemented system and process for generating video search engine results page is disclosed. The system provides a query term and retrieves a collection of search results. Tags are generated for each search result and used to match media objects to each search result. The search results and video objects related to each search result are returned as a video search engine results page.

Matching and recommending relevant videos and media to individual search engine results

A computer-implemented system and method for extracting Human Generated Lists from an electronic database is described. The system searches for objects of the same class within a context window to identify Human Generated Lists and stores them to an archive, The archive may be used to generate a relationship network. The system generates variable length data vectors to represent the relationships between the objects within each Human Generated List. This relationship network can then be queried to discover relationships between the objects in the Human Generated Lists and to provide related objects as recommendations.

Discovering and scoring relationships extracted from human generated lists

A computer-implemented system and process for generating a relationship network is disclosed. The system provides a set of data items to be related and generates variable length data vectors to represent the relationships between the terms within each data item. The system can be used to generate a relationship network for documents, images, or any other type of file. This relationship network can then be queried to discover the relationships between terms within the set of data items.

System and method for generating a relationship network

A computer-implemented system and method for extracting Human Generated Lists from an electronic database is described. The system searches for objects of the same class within a context window to identify Human Generated Lists and stores them to an archive. The archive may be used to generate a relationship network. The system generates variable length data vectors to represent the relationships between the objects within each Human Generated List. This relationship network can then be queried to discover relationships between the objects in the Human Generated Lists and to provide related objects as recommendations.

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Kensington, CA, United States of America

Kasian Franks