Google Inc.

Courtney L Bowman

David Wiesen

Jared Smith

Nicolas Fernando Cabrera

Isaac David Sparrow

Jeffrey Michael Stone

Keyon Hedayati

Juan Bacani Trinidad

Katherine Marie Hotchkiss

Stephen Tai-Chung Hu

Matthew C Cary

Michael Skinner

Aaron Shon

Guy Calvert

Michael English

A classifier may include logic to parse incoming content and to compare a key term in the content to stored content related to multiple prior messages, where the stored content is classified with respect to one or more categories. The logic may produce a score for the content based on the comparing, relate the score to one of the one or more categories, and produce a result based on the comparing, producing, or relating.

Content-based classification

A publication evaluation subsystem generates publication scores for publications. Each publication score is indicative of an expected performance for content that is presented with the publication. The publication scores are generated relative to a baseline performance measure. The baseline performance measure has a value that is indicative of an expected performance of any selected content presented with any publication in the content network. More than one publication score can be generated for each publication, with each publication score being indicative of the performance of a sub-group of content items that are presented with the publication. The sub-group of content items can include content items that each share a common characteristic. For example, a publication score can be generated for a sub-group of content items that are associated with common targeting criteria (e.g., keywords).

Publication evaluation

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San Francisco, CA, United States of America

Courtney L Bowman