Google Inc.

Ya Luo

Andrew Stephen Tomkins

Andre Rohe

Todd Christopher Jackson

Sangsoo Sung

Dandapani Sivakumar

Andrew Ames Bunner

Luca De Alfaro

Justin Lewis Kosslyn

Sasha Sobol

Alexander Sobol

A system and method for generating a stream of content includes a content stream module that generates a model based on user input and/or prior activities using heterogeneous data sources. The heterogeneous data sources include search, entertainment, social activity and activity on third-party sites. The content stream module retrieves candidate content items that have interests that are similar to the user. The candidate content items are compared to the model and scored based upon interestingness of the content item to the user. The content stream module generates the stream of content from the candidate content items.

Scoring stream items with models based on user interests

A system and method for generating a real-time stream of content from heterogeneous data sources and a real-time index. The heterogeneous data sources include search, entertainment, social activity and activity on third-party sites. A fetching unit retrieves recent content that is indexed in the real-time index according to keywords. A model generation engine generates a model based on user activities. The mixer compares candidate content items from the heterogeneous data sources and the real-time index to the model to generate scores for each item and generates a stream of content based on the scores.

Scoring stream items in real time

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Milpitas, CA, United States of America

Ya Luo