Yahoo! Inc.

Excalibur Ip, LLC

Yahoo Holdings, Inc.

Chris LuVogt

Vu B Nguyen

Brian Theodore

Bruce Robbins

Deepa Mahalingam

Ketan Bhatia

Justine Shen

Users receive content recommendations from a personalized, generalized recommendation service that aggregates and selects content of high personal relevance to each individual user from a large pool of both personal and public content. The received content is filtered and the content determined to be relevant is cached. When a user request for content is received, the cached content is rescored and the content determined to be most relevant based on satisfaction of a relevance threshold is selected and forwarded to the user. Feedback methodologies are also implemented so that a user's actions are taken into consideration in real time and can affect subsequent recommendations to the user.

Systems and methods for personalized generalized content recommendations

Avatars for use with personalized generalized content recommendations

User modeling for personalized generalized content recommendations

Growing community of inventors

Santa Clara, CA, United States of America

Chris LuVogt