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).

  • Patent number: 11709851
    Abstract: 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: Grant
    Filed: November 23, 2020
    Date of Patent: July 25, 2023
    Assignee: OpenTable, Inc.
    Inventors: Jeremy Ryan Schiff, Sourav Chatterji, Corey Layne Reese, Steven Charles Schlansker, Leejay Wu, Paul Kenneth Twohey
  • Publication number: 20220292575
    Abstract: 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: Application
    Filed: May 31, 2022
    Publication date: September 15, 2022
    Inventors: Jeremy Ryan Schiff, Paul Kenneth Twohey, Steven Charles Schlansker, Leejay Wu, Corey Reese, Sourav Chatterji
  • Patent number: 11423462
    Abstract: 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: Grant
    Filed: October 4, 2017
    Date of Patent: August 23, 2022
    Assignee: OpenTable, Inc.
    Inventors: Jeremy Ryan Schiff, Paul Kenneth Twohey, Steven Charles Schlansker, Leejay Wu, Corey Reese, Sourav Chatterji
  • Publication number: 20210149891
    Abstract: 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: Application
    Filed: November 23, 2020
    Publication date: May 20, 2021
    Inventors: Jeremy Ryan Schiff, Sourav Chatterji, Corey Layne Reese, Steven Charles Schlansker, Leejay Wu, Paul Kenneth Twohey
  • Patent number: 10853379
    Abstract: 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: Grant
    Filed: November 24, 2015
    Date of Patent: December 1, 2020
    Assignee: OpenTable, Inc.
    Inventors: Jeremy Ryan Schiff, Sourav Chatterji, Corey Layne Reese, Steven Charles Schlansker, Leejay Wu, Paul Kenneth Twohey
  • Publication number: 20180025395
    Abstract: 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: Application
    Filed: October 4, 2017
    Publication date: January 25, 2018
    Inventors: Jeremy Ryan Schiff, Paul Kenneth Twohey, Steven Charles Schlansker, Leejay Wu, Corey Reese, Sourav Chatterji
  • Publication number: 20160078111
    Abstract: 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: Application
    Filed: November 24, 2015
    Publication date: March 17, 2016
    Inventors: Jeremy Ryan Schiff, Sourav Chatterji, Corey Layne Reese, Steven Charles Schlansker, Leejay Wu, Paul Kenneth Twohey
  • Patent number: 9195769
    Abstract: 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: Grant
    Filed: July 19, 2012
    Date of Patent: November 24, 2015
    Assignee: OPENTABLE, INC.
    Inventors: Jeremy Schiff, Sourav Chatterji, Corey Layne Reese, Steven Charles Schlansker, Leejay Wu, Paul Kenneth Twohey
  • Publication number: 20130024465
    Abstract: 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: Application
    Filed: July 19, 2012
    Publication date: January 24, 2013
    Applicant: Ness Computing, Inc.
    Inventors: Jeremy Ryan Schiff, Sourav Chatterji, Corey Layne Reese, Steven Charles Schlansker, Leejay Wu, Paul Kenneth Twohey
  • Publication number: 20120095862
    Abstract: 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: Application
    Filed: October 14, 2011
    Publication date: April 19, 2012
    Applicant: Ness Computing, Inc. (a Delaware Corportaion)
    Inventors: Jeremy Ryan Schiff, Paul Kenneth Twohey, Steven Charles Schlansker, Leejay Wu, Corey Reese, Sourav Chatterji
  • Patent number: 7809605
    Abstract: 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: Grant
    Filed: March 28, 2006
    Date of Patent: October 5, 2010
    Assignee: AOL Inc.
    Inventors: Sudhir Tonse, Muhammad Mohsin Hussain, David C. Sobotka, Aftab Zia, Leejay Wu, M. Sultan Khan, Brock D. LaPorte, Mohan S. Rao
  • Publication number: 20070150345
    Abstract: 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: Application
    Filed: March 28, 2006
    Publication date: June 28, 2007
    Inventors: Sudhir Tonse, Muhammad Hussain, David Sobotka, Aftab Zia, Leejay Wu, M. Khan, Brock LaPorte, Mohan Rao