Google Inc.

Jim McFadden

Andrew Stephen Tomkins

Tushar Deepak Chandra

Tal Shaked

Saurabh Mathur

Tomas Lloret Llinares

Danny Wyatt

A system and method for generating a model based on the user's interests and activities by receiving with a logging unit user activities from heterogeneous data sources, generating a log of user activities for a content item by joining the user activities for the content item, expanding attributes of the log by at least one of content and by the user to form an expanded log and generating a user model based on the expanded log. A feature extractor extracts features from content items and assigns weights to the features. A scoring engine receives the model and the content items with their associated weighted features and scores the content items based on the user model. The scoring engine generates a stream of content based on the scored content items.

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San Francisco, CA, United States of America

Jim McFadden