Patents by Inventor Paul Kenneth Twohey

Paul Kenneth Twohey 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
  • Patent number: 9396492
    Abstract: Embodiments of the invention relate to a computer-implemented method and system for providing personalized recommendations for a target user based at least on stored data about the target user. The method comprises obtaining a plurality of feedback data from a plurality of users, wherein the feedback data comprises an indication of a media object, a response obtained from target user related to the feedback data, and at least one demographic data element associated with the target user. A set of personalized recommendations for the target user are identified based at least on stored data about the target user and the feedback data related to the user. The personalized recommendations system identifies media objects to potentially provide to the target user, and selects or filters the identified media objects to form a set of personalized media objects associated with the set of personalized recommendations.
    Type: Grant
    Filed: October 14, 2011
    Date of Patent: July 19, 2016
    Assignee: OpenTable, Inc.
    Inventors: Jeremy Schiff, Corey Reese, Yige Wang, Scott Goodson, Paul Kenneth Twohey
  • 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
  • Patent number: 9189551
    Abstract: Embodiments of the invention relate to a category based navigation system obtaining user data related to a plurality of users relevant to the primary user. The method further comprises obtaining entity data associated with an entity in a plurality of entities. The category based navigation system then determines one or more entities relevant to the primary user, and determines an initial order of relevance of a set of relevant entities. The method further comprises categorizing and displaying the set of relevant entities with an initial categorization on a user device to the primary user. The category based navigation system may then obtain, via the user device, user feedback, adjust the initial categorization and initial order of relevance based on the user feedback; and display the adjusted categorization and adjusted order of relevance of the set of relevant entities to the primary user on the user device.
    Type: Grant
    Filed: July 19, 2012
    Date of Patent: November 17, 2015
    Assignee: OPENTABLE. INC.
    Inventors: Scott Paul Goodson, Sourav Chatterji, Jeremy Ryan Schiff, Corey Layne Reese, Paul Kenneth Twohey
  • Publication number: 20130024456
    Abstract: Embodiments of the invention relate to a category based navigation system obtaining user data related to a plurality of users relevant to the primary user. The method further comprises obtaining entity data associated with an entity in a plurality of entities. The category based navigation system then determines one or more entities relevant to the primary user, and determines an initial order of relevance of a set of relevant entities. The method further comprises categorizing and displaying the set of relevant entities with an initial categorization on a user device to the primary user. The category based navigation system may then obtain, via the user device, user feedback, adjust the initial categorization and initial order of relevance based on the user feedback; and display the adjusted categorization and adjusted order of relevance of the set of relevant entities to the primary user on the user device.
    Type: Application
    Filed: July 19, 2012
    Publication date: January 24, 2013
    Applicant: Ness Computing, Inc.
    Inventors: Scott Paul Goodson, Sourav Chatterji, Jeremy Ryan Schiff, Corey Layne Reese, Paul Kenneth Twohey
  • Publication number: 20130024449
    Abstract: Embodiment of the invention relate to a computer-implemented method for providing augmented searches for entities to a user, the method comprising obtaining, at a server computer operated by an entity search system, user data related to a user, and obtaining entity data related to a plurality of entities. Then, the entity search system receives a query for a search for relevant entities from the user. The method then further comprises searching for a set of relevant entities based on the query, entity data, and user data, determining a set of criteria for an initial order of relevance, and determining an order of relevance of the set of relevant entities based on the set of criteria. The set of relevant entities or order of relevance may be augmented by obtaining feedback data from the user, thereby providing an augmented search for relevant entities to the user.
    Type: Application
    Filed: July 19, 2012
    Publication date: January 24, 2013
    Applicant: Ness Computing, Inc.
    Inventors: Sourav Chatterji, Jeremy Ryan Schiff, Corey Layne Reese, Paul Kenneth Twohey
  • Publication number: 20130024464
    Abstract: Embodiments of the invention relate to a computer-implemented method for generating explanatory data from a personalized recommendations process for a primary user based at least on stored data about the primary user. The method comprises a server computer obtaining data related to one or more users who are relevant to the primary user, then determining at least one group of users relevant to the primary user. The server computer also obtains data related to one or more entities, determines one or more entities relevant to the primary user, and associates the at least one relevant group of users with the one or more relevant entities. One or more potential candidate factors are generated. A set of factors are selected from the one or more potential candidate factors, wherein the potential candidate factors are used as explanatory data to determine recommendations to the primary user.
    Type: Application
    Filed: July 19, 2012
    Publication date: January 24, 2013
    Applicant: Ness Computing, Inc.
    Inventors: Christopher Eric Shogo Berner, Jeremy Ryan Schiff, Corey Layne Reese, 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: 20120095863
    Abstract: Embodiments of the invention relate to a computer-implemented method and system for providing personalized recommendations for a target user based at least on stored data about the target user. The method comprises obtaining a plurality of feedback data from a plurality of users, wherein the feedback data comprises an indication of a media object, a response obtained from target user related to the feedback data, and at least one demographic data element associated with the target user. A set of personalized recommendations for the target user are identified based at least on stored data about the target user and the feedback data related to the user. The personalized recommendations system identifies media objects to potentially provide to the target user, and selects or filters the identified media objects to form a set of personalized media objects associated with the set of personalized recommendations.
    Type: Application
    Filed: October 14, 2011
    Publication date: April 19, 2012
    Applicant: Ness Computing, Inc.
    Inventors: Jeremy Ryan Schiff, Corey Reese, Yige Wang, Scott Goodson, 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