Google Inc.

Xiaonan Zhang

Oren Eli Zamir

Ting Liu

Shankar R Ponnekanti

Dirk John Stoop

Jiye Huang

Rachel Elizabeth Derkits-Gelman

Chenmin Liang

A computing system and method that can be used for organizing product-related emails, wherein product-related emails can pertain to products such as objects/items or otherwise pertain to entities such as experiences, subscriptions, services etc. In particular, example aspects of the present disclosure involve computing systems and computer-implemented methods for organizing product-related emails based on historical user data and characteristics extracted from the product-related emails. The systems and methods of the present disclosure allow for use of email that more conveniently conveys pertinent information contained in product-related emails through presentation of various information predicted as more valuable to a user and methods to more easily find product-related emails associated with a user's particular desires.

Organizing product-related emails

Systems and methods for predicting content performance with interest data include receiving a content selection request that includes a client identifier. One or more topical interest categories associated with the client identifier may be used as inputs to a prediction model to predict the likelihood of an online action occurring as a result of third-party content being selected. The predicted likelihood may be used to select third-party content.

Network based content transmission based on client device parameters

Predicting content performance with interest data

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Sunnyvale, CA, United States of America

Xiaonan Zhang