Patents by Inventor Leejay Wu
Leejay Wu has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11709851Abstract: Embodiments of the invention relate to methods and systems for evaluating entities for a target user, the method comprising obtaining, at a server computer, entity data from a plurality of data sources. The entity data is then stored in an entity database. The method further comprises merging the entity data from the plurality of data sources, mapping the entity data to a corresponding entity, and differentiating the entity. Then a relevance is determined associated with the entity data and data source. The method further comprises generating a set of entity evaluations to the target user using the relevance, determining a set of one or more entities relevant to the primary user based on the entity data, user data, and the relevance, with an initial order of relevance, and displaying, on a user device, the set of relevant entities to the target user in the order of relevance.Type: GrantFiled: November 23, 2020Date of Patent: July 25, 2023Assignee: OpenTable, Inc.Inventors: Jeremy Ryan Schiff, Sourav Chatterji, Corey Layne Reese, Steven Charles Schlansker, Leejay Wu, Paul Kenneth Twohey
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Publication number: 20220292575Abstract: Embodiments of the invention relate to a computer-implemented method and system for generating personalized recommendations for a target user based at least on stored data about the target user. The method comprises obtaining, at the server computer, data from a plurality of data sources, including entity data associated with a plurality of entities, stored in an entity database, or personal data associated with a plurality of users, stored in a user database. The personalized recommendations system then merges the entity data or personal data and maps the entity or personal data to a corresponding entity or target user, respectively. The entity or personal data is differentiated, a relevance is determined, a weight is assigned to the data and corresponding source to canonicalize the data, the respective databases are updated with the corresponding data, and then a set of personalized recommendations to the target user is generated using the updated databases.Type: ApplicationFiled: May 31, 2022Publication date: September 15, 2022Inventors: Jeremy Ryan Schiff, Paul Kenneth Twohey, Steven Charles Schlansker, Leejay Wu, Corey Reese, Sourav Chatterji
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Patent number: 11423462Abstract: Embodiments of the invention relate to a computer-implemented method and system for generating personalized recommendations for a target user based at least on stored data about the target user. The method comprises obtaining, at the server computer, data from a plurality of data sources, including entity data associated with a plurality of entities, stored in an entity database, or personal data associated with a plurality of users, stored in a user database. The personalized recommendations system then merges the entity data or personal data and maps the entity or personal data to a corresponding entity or target user, respectively. The entity or personal data is differentiated, a relevance is determined, a weight is assigned to the data and corresponding source to canonicalize the data, the respective databases are updated with the corresponding data, and then a set of personalized recommendations to the target user is generated using the updated databases.Type: GrantFiled: October 4, 2017Date of Patent: August 23, 2022Assignee: OpenTable, Inc.Inventors: Jeremy Ryan Schiff, Paul Kenneth Twohey, Steven Charles Schlansker, Leejay Wu, Corey Reese, Sourav Chatterji
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Publication number: 20210149891Abstract: Embodiments of the invention relate to methods and systems for evaluating entities for a target user, the method comprising obtaining, at a server computer, entity data from a plurality of data sources. The entity data is then stored in an entity database. The method further comprises merging the entity data from the plurality of data sources, mapping the entity data to a corresponding entity, and differentiating the entity. Then a relevance is determined associated with the entity data and data source. The method further comprises generating a set of entity evaluations to the target user using the relevance, determining a set of one or more entities relevant to the primary user based on the entity data, user data, and the relevance, with an initial order of relevance, and displaying, on a user device, the set of relevant entities to the target user in the order of relevance.Type: ApplicationFiled: November 23, 2020Publication date: May 20, 2021Inventors: Jeremy Ryan Schiff, Sourav Chatterji, Corey Layne Reese, Steven Charles Schlansker, Leejay Wu, Paul Kenneth Twohey
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Patent number: 10853379Abstract: Embodiments of the invention relate to methods and systems for evaluating entities for a target user, the method comprising obtaining, at a server computer, entity data from a plurality of data sources. The entity data is then stored in an entity database. The method further comprises merging the entity data from the plurality of data sources, mapping the entity data to a corresponding entity, and differentiating the entity. Then a relevance is determined associated with the entity data and data source. The method further comprises generating a set of entity evaluations to the target user using the relevance, determining a set of one or more entities relevant to the primary user based on the entity data, user data, and the relevance, with an initial order of relevance, and displaying, on a user device, the set of relevant entities to the target user in the order of relevance.Type: GrantFiled: November 24, 2015Date of Patent: December 1, 2020Assignee: OpenTable, Inc.Inventors: Jeremy Ryan Schiff, Sourav Chatterji, Corey Layne Reese, Steven Charles Schlansker, Leejay Wu, Paul Kenneth Twohey
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Publication number: 20180025395Abstract: Embodiments of the invention relate to a computer-implemented method and system for generating personalized recommendations for a target user based at least on stored data about the target user. The method comprises obtaining, at the server computer, data from a plurality of data sources, including entity data associated with a plurality of entities, stored in an entity database, or personal data associated with a plurality of users, stored in a user database. The personalized recommendations system then merges the entity data or personal data and maps the entity or personal data to a corresponding entity or target user, respectively. The entity or personal data is differentiated, a relevance is determined, a weight is assigned to the data and corresponding source to canonicalize the data, the respective databases are updated with the corresponding data, and then a set of personalized recommendations to the target user is generated using the updated databases.Type: ApplicationFiled: October 4, 2017Publication date: January 25, 2018Inventors: Jeremy Ryan Schiff, Paul Kenneth Twohey, Steven Charles Schlansker, Leejay Wu, Corey Reese, Sourav Chatterji
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Publication number: 20160078111Abstract: Embodiments of the invention relate to methods and systems for evaluating entities for a target user, the method comprising obtaining, at a server computer, entity data from a plurality of data sources. The entity data is then stored in an entity database. The method further comprises merging the entity data from the plurality of data sources, mapping the entity data to a corresponding entity, and differentiating the entity. Then a relevance is determined associated with the entity data and data source. The method further comprises generating a set of entity evaluations to the target user using the relevance, determining a set of one or more entities relevant to the primary user based on the entity data, user data, and the relevance, with an initial order of relevance, and displaying, on a user device, the set of relevant entities to the target user in the order of relevance.Type: ApplicationFiled: November 24, 2015Publication date: March 17, 2016Inventors: Jeremy Ryan Schiff, Sourav Chatterji, Corey Layne Reese, Steven Charles Schlansker, Leejay Wu, Paul Kenneth Twohey
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Patent number: 9195769Abstract: Embodiments of the invention relate to methods and systems for evaluating entities for a target user, the method comprising obtaining, at a server computer, entity data from a plurality of data sources. The entity data is then stored in an entity database. The method further comprises merging the entity data from the plurality of data sources, mapping the entity data to a corresponding entity, and differentiating the entity. Then a relevance is determined associated with the entity data and data source. The method further comprises generating a set of entity evaluations to the target user using the relevance, determining a set of one or more entities relevant to the primary user based on the entity data, user data, and the relevance, with an initial order of relevance, and displaying, on a user device, the set of relevant entities to the target user in the order of relevance.Type: GrantFiled: July 19, 2012Date of Patent: November 24, 2015Assignee: OPENTABLE, INC.Inventors: Jeremy Schiff, Sourav Chatterji, Corey Layne Reese, Steven Charles Schlansker, Leejay Wu, Paul Kenneth Twohey
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Publication number: 20130024465Abstract: Embodiments of the invention relate to methods and systems for evaluating entities for a target user, the method comprising obtaining, at a server computer, entity data from a plurality of data sources. The entity data is then stored in an entity database. The method further comprises merging the entity data from the plurality of data sources, mapping the entity data to a corresponding entity, and differentiating the entity. Then a relevance is determined associated with the entity data and data source. The method further comprises generating a set of entity evaluations to the target user using the relevance, determining a set of one or more entities relevant to the primary user based on the entity data, user data, and the relevance, with an initial order of relevance, and displaying, on a user device, the set of relevant entities to the target user in the order of relevance.Type: ApplicationFiled: July 19, 2012Publication date: January 24, 2013Applicant: Ness Computing, Inc.Inventors: Jeremy Ryan Schiff, Sourav Chatterji, Corey Layne Reese, Steven Charles Schlansker, Leejay Wu, Paul Kenneth Twohey
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Publication number: 20120095862Abstract: Embodiments of the invention relate to a computer-implemented method and system for generating personalized recommendations for a target user based at least on stored data about the target user. The method comprises obtaining, at the server computer, data from a plurality of data sources, including entity data associated with a plurality of entities, stored in an entity database, or personal data associated with a plurality of users, stored in a user database. The personalized recommendations system then merges the entity data or personal data and maps the entity or personal data to a corresponding entity or target user, respectively. The entity or personal data is differentiated, a relevance is determined, a weight is assigned to the data and corresponding source to canonicalize the data, the respective databases are updated with the corresponding data, and then a set of personalized recommendations to the target user is generated using the updated databases.Type: ApplicationFiled: October 14, 2011Publication date: April 19, 2012Applicant: Ness Computing, Inc. (a Delaware Corportaion)Inventors: Jeremy Ryan Schiff, Paul Kenneth Twohey, Steven Charles Schlansker, Leejay Wu, Corey Reese, Sourav Chatterji
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Patent number: 7809605Abstract: Systems and methods are provided for increasing user response to advertisements. Methods include identifying a base request from an advertisement requester, identifying a first keyword and a second keyword associated with the base request, ranking the first keyword and the second keyword based on a user response history associated with the first keyword and the second keyword, and identifying the higher ranked of the first keyword and the second keyword to be used to dynamically alter the base request.Type: GrantFiled: March 28, 2006Date of Patent: October 5, 2010Assignee: AOL Inc.Inventors: Sudhir Tonse, Muhammad Mohsin Hussain, David C. Sobotka, Aftab Zia, Leejay Wu, M. Sultan Khan, Brock D. LaPorte, Mohan S. Rao
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Publication number: 20070150345Abstract: Systems and methods are provided for increasing user response to advertisements. Methods include identifying a base request from an advertisement requester, identifying a first keyword and a second keyword associated with the base request, ranking the first keyword and the second keyword based on a user response history associated with the first keyword and the second keyword, and identifying the higher ranked of the first keyword and the second keyword to be used to dynamically alter the base request.Type: ApplicationFiled: March 28, 2006Publication date: June 28, 2007Inventors: Sudhir Tonse, Muhammad Hussain, David Sobotka, Aftab Zia, Leejay Wu, M. Khan, Brock LaPorte, Mohan Rao