Tivo Corporation

Apple Inc.

Yahoo! Inc.

Kamal Mahmood Ali

Martin James Murrett

Wijnand J Van Stam

Ravi Chandra Jammalamadaka

Donald Rozinak Beaver

Dominic J Hughes

Gregory C Langmead

Mark A Gingrich

Wijnand Van Stam

Pushkaraj Bhirud

Daniel Ribeiro Silva

Shizhu Liu

Aspects of the present disclosure may involve a computer implemented method of disambiguating a string from an article involving an electronic device including one or more hardware processing units, and accessing a disambiguation database comprising a plurality of string-entity combinations and associated metrics for each of the plurality of string-entity combinations. The associated metrics may include a metric associated with an arrival probability of linking at a web page for a particular entity after a specified number of links from a starting page. The method may involve generating a clique graph for each candidate entity of the article, and generating a probability that a particular candidate entity matches a particular string associated with the particular candidate entity as a function of score attributes generated from the clique graph and the arrival probability of linking at the page for the particular entity after the specified number of links.

Apparatus, system and method for string disambiguation and entity ranking

Aspects of the present disclosure involve a mobile or computer reader application that obtains articles or other computer files from a central database and displays the articles to a user of the device. The reader application may be customizable around one or more characteristics of the user of the device. In one embodiment, the type and number of articles provided to the device and displayed in the reader application may be based on the determination of a category or type of usage of the application is performed by the user. Further, the determination of the use of the reader application on the device is performed by and contained within the device such that usage information is not shared with overall article providing system. In another embodiment, the article providing system and/or device may determine recommendations to provide to a user of the reading application. These recommendations may be based on one or more selected interests or topics of the user of the reading application.

A system and method for making program recommendations to users of a network-based video recording system utilizes expressed preferences as inputs to collaborative filtering and Bayesian predictive algorithms to rate television programs using a graphical rating system. The predictive algorithms are adaptive, improving in accuracy as more programs are rated.

Intelligent system and methods of recommending media content items based on user preferences

An aggregation operation is performed on a subset of facts sampled from a full structured collection of facts, to determine an aggregation result. Based on the determined aggregation result and on an indication of characteristics of the sampled subset of facts relative to the full structured collection of facts, an indication of a difference is determined, between what would be the result of the aggregation-type operation on the full structured collection of facts and the actual result of the aggregation-type operation on the sampled subset of facts. The full structured collection of facts may be comprised of a plurality of component structured collections of facts, where the sampled subset of facts includes facts that are sampled from the plurality of component structured collections of facts, in a manner that is deterministic across the component structured collections of facts, and then joined to constitute the sampled subset of facts.

Aggregation-specific confidence intervals for fact set queries

Growing community of inventors

Campbell, CA, United States of America

Kamal Mahmood Ali