Ebay, Incorporated

Apple Inc.

Ravi Chandra Jammalamadaka

Martin James Murrett

Donald Rozinak Beaver

Dominic J Hughes

Mark A Gingrich

Prathyusha Senthil Kumar

Gregory C Langmead

Praveen Arasada

Georgios Sofianatos

Amogh Mahapatra

Pushkaraj Bhirud

Kang Tu

Justin W Sung

Guillermo Ortiz

Ian J Elseth

Casey Maureen Dougherty

Steve E Marmon

Collin D Ruffenach

Jason A Novak

Kamal Mahmood Ali

Shizhu Liu

Daniel Ribeiro Silva

Sanjay Pundlkrao Ghatare

Naren M Chittar

Brian Scott Johnson

Vamsi Salaka

Tracy Holloway King

Donald R Beaver

Various embodiments include systems and methods for data mining of search engine and network operations to automatically identify query events. Data aggregated from such query events and stored as query history data may be processed to identify query ranking mismatches. These identified mismatches may be used with the query history data and target settings to automatically generate query rewrite data. In certain embodiments, this query rewrite data may be used to generate query rewrite input language (QRIL) records. Such QRIL records may then be used to automatically generate standardized rewrites which automatically resolve any conflicts between rewrites in a particular search engine.

Systems and methods for data mining and automated generation of search query rewrites

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

Various embodiments include systems and methods tier processing query rewrite records to generate standardized query rewrites usable by a search engine. Such systems and method may involve analysis of query rewrite input language (QRIL) records to identify relationships and conflicts between multiple QRIL records, and to resolve these relationships and conflicts to generate a standardized rewrite in a semantic language recognizable by the search engine. Such systems and methods may gather QRIL records from a QRIL record database, process the QRIL records using precedence rules, and then communicate a set of standardized and optimized query rewrites to the search engine.

Systems and methods for generating search query rewrites

Systems and methods to mine product recommendations from query reformulation are provided. In example embodiments, a query that corresponds to a particular product is received. Transition data for the particular product is accessed. The transition data includes values reflecting a number of search transitions between the particular product and other products in session sets of previous queries. One or more recommendations based on the transition data is determined. The one or more recommendation are provided to a device of the user.

Mining product recommendation from query reformulations

Various embodiments include systems and methods for generating query rewrite records which may be used to generate standardized query rewrites for a search engine. Such records may identify rewrite triggers as well as constraints and other metadata flags which may be associated with certain rewrites in query rewrite identification (QRIL) records. In certain embodiments, such records may be analyzed with other QRIL records or rewrite information to prevent rewrite conflicts and to generate standardized rewrites. This information may then be used by a search engine to generate responses to user queries.

Systems and methods for representing search query rewrites

In various example embodiments, systems and methods to mine product recommendations from query reformulation is provided. In example embodiments, a search query is mapped to a particular product. Transition data for the particular product is accessed. The transition data includes values reflecting a number of search transitions between the particular product and other products in session sets of previous queries. One or more recommendations based on the transition data is determined and provided to the user.

In various example embodiments, systems and methods to mine product recommendations from query reformulation is provided. In example embodiments, a query that corresponds to a particular product is received. Transition data for the particular product is accessed. The transition data includes values indicating a number of search transitions based on a change in queries between the particular product and other products in previous session sets of queries. One or more recommendations based on the transition data is determined and provided to the user.

A system and method of query expansion are disclosed. A query expansion source, a query expansion candidate, and feature data for the query expansion source and the query expansion candidate are received. The feature data comprises information for a plurality of features. A determination is made as to whether the query expansion candidate qualifies as an expansion of the query expansion source based on an analysis of the information for the plurality of features. The query expansion candidate is assigned as an expanded query of the query expansion source in a query expansion dictionary in response to a determination that the query expansion candidate qualifies as an expansion of the query expansion source.

Growing community of inventors

Santa Clara, CA, United States of America

Ravi Chandra Jammalamadaka