Apple Inc.

Mark A Gingrich

Dominic J Hughes

Martin James Murrett

Ravi Chandra Jammalamadaka

Donald Rozinak Beaver

Gregory C Langmead

Steve E Marmon

Georgios Sofianatos

Amogh Mahapatra

Pushkaraj Bhirud

Justin W Sung

Kang Tu

Guillermo Ortiz

Casey Maureen Dougherty

Ian J Elseth

Collin D Ruffenach

Jason A Novak

Kamal Mahmood Ali

Shizhu Liu

Daniel Ribeiro Silva

Imran A Chaudhri

Anton M Davydov

Charles J Migos

Vincent M Lane

Alden Maxwell Haley

Michel Elings

Alexander C MacLean

Jip Van Der Velde

Genevieve Garand

Jonathan M Penn

Aimee Machado

Donald R Beaver

Some embodiments provide a document viewing application with first and second document channel browsing modes. The first mode displays selectable items corresponding to document channels. Selection of an item causes the application to add the corresponding document channel to a set of selected document channels from which to retrieve documents for presentation within the application and dynamically add items corresponding to document channels related to the selected document channel to the selectable items for display in the first mode. The second mode displays a first set of selectable items corresponding to sources of documents and a second set of selectable items corresponding to document topics. Selection of an item in the second browsing mode causes the application to add the corresponding document channel to the set of selected document channels and modify the selectable items presented in the second mode a next time the second mode is entered.

Document channel selection for document viewing application

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.

Reader application with a personalized feed and method of providing recommendations while maintaining user privacy

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. In addition to providing the articles to the reader application, an article providing system may also determine the quality or popularity of particular articles and provide the most popular articles to users of the system. In one embodiment, the system may receive one or more anonymous interaction metrics from one or more devices connected to the system. The anonymous interaction metrics may be associated with a particular article and provide some indication of a user's engagement with the article. The system utilizes these interaction metrics or measurements to set or adjust a score or ranking associated with the particular article. The score may then be utilized by the system to rank the article in relation to other articles available through the system to provide the most popular or highest ranked articles to users of the system.

Reader application system utilizing article scoring and clustering

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

Growing community of inventors

San Jose, CA, United States of America

Mark A Gingrich