Google Inc.

Leora Wiseman

Sumit Agarwal

Wesley T Chan

Rama Ranganath

Deepak Jindal

Gokul Rajaram

Simon Ratner

Brian Axe

Igor Kofman

Jasson Schrock

Shanmugavelayutham Muthukrishnan

Ching Law

Julian Frumar

Ryan Junee

Andrew Maxwell

Mihai Badoiu

Virginia Wang

Ankur Bhargava

David Gehrking

Sigalit Bar

Herbert Ho

Isaac Elias

Michael Fink

Ran Tavory

Nir Kerem

Aviad Barzilai

Sarel Cohen

Yigal Petreanu

Ruslan Mukhin

Merav Greenberg

Moriah Royz

One or more keywords and/or information about one or more properties may be accepted, and a set of one or more taxonomy categories may be determined using at least some of the keyword(s) and/or property information and perhaps term co-occurrence clusters. The determined taxonomy categories may be presented to an advertising user as an ad targeting suggestion. Each taxonomy category may have at least one associated property (e.g., Web document), that participates in an advertising network. An advertiser selection of a suggested taxonomy category may be accepted, and the serving of an ad of the advertiser may be targeted to each property associated with the selected suggested taxonomy category. Alternatively, such properties may be presented to an advertising user as an ad targeting suggestion.

Suggesting targeting information for ads, such as websites and/or categories of websites for example

A system and method for associating a document with a concept are provided. One or more idea-electronic document associations is identified, wherein each idea-electronic document association is based on a user performance criteria relative to the electronic document and the idea. At least one of the one or more electronic documents is identified with a concept based on the one or more idea-electronic document associations, wherein the concept is related to the one or more ideas.

Method and system for mining image searches to associate images with concepts

A system and method for generating an electronic document are provided. A request to generate an electronic document associated with a concept is received. Content for the electronic document is suggested based on the concept. A selection of the suggested content is received. An electronic document is automatically generated using the selected suggested content.

Method and system for automatically creating an image advertisement

A system and method for rating a document comprising an image are provided. A document is received for distribution. Rating information associated with the document is received from one or more rating entities. At least one of said one or more rating entities comprises a processor to determine rating information associated with the image. The document is approved for distribution based on the rating information.

System and method for rating documents comprising an image

A system and method for rating an electronic document such as an advertisement. Rating information is received from one or more evaluators. A signal relevant to a criteria is received and a determination is made whether to deliver the document in response to the signal based on the criteria and the rating information from the one or more evaluators.

System and method for rating electronic documents

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Sunnyvale, CA, United States of America

Leora Wiseman