Opentable, Inc.

Aol Inc.

Leejay Wu

Jeremy Ryan Schiff

Corey Layne Reese

Sourav Chatterji

Steven Charles Schlansker

Paul Kenneth Twohey

Muhammad Raghib Hussain

Sudhir Tonse

David C Sobotka

Mohan Rao

Aftab Zia

Brock D LaPorte

M Sultan Khan

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.

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

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.

Method and apparatus for quickly evaluating entities

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.

Altering keyword-based requests for content

Growing community of inventors

Mountain View, CA, United States of America

Leejay Wu