Computer system and method for analyzing data sets and generating personalized recommendations

US11423462B2 · kind B2 · utility

Assignee

• Opentable, Inc. · US

Inventors

• Jeremy Ryan Schiff · Portola Valley, US
• Paul Kenneth Twohey · Palo Alto, US
• Steven Charles Schlansker · Los Altos, US
• Leejay Wu · Mountain View, US
• Corey Layne Reese · Portola Valley, US
• Sourav Chatterji · Fremont, US

Key dates

• Filing date: Oct 4, 2017
• Grant date: Aug 23, 2022
• Expiry date: May 12, 2038

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q30/0643
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

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.