Google Inc.

Harrison Mark Gordon

Matthew Strecker Burriesci

James Robert Koehler

Yueqing Wang

William Martin Halpin, Jr

Ruixue Fan

Sean Patrick Miller

Antonella Pavese

Yijia Feng

Kirsten Paige Yee

William M Halpin

Systems and methods restrict content inserted into information resources. A computing device can identify a content element included in an information resource. The computing device can identify a bit stream corresponding to the content element included in the information resource. The computing device can hash the identified bit stream to generate an element identifier corresponding to the content element. The computing device can access a restricted content database using the element identifier. The computing device can modify, responsive to finding the element identifier in the restricted content database, the presentation of the content element on the information resource in accordance with the content restriction policy.

Hash-based dynamic restriction of content on information resources

Systems and methods for restricting content inserted into information resources are provided herein. A computing device can identify a content element included in an information resource. The computing device can identify a bit stream corresponding to the content element included in the information resource. The computing device can hash the identified bit stream to generate an element identifier corresponding to the content element. The computing device can access a restricted content database using the element identifier. The computing device can modify, responsive to finding the element identifier in the restricted content database, the presentation of the content element on the information resource in accordance with the content restriction policy.

Methods and systems of reducing computer resource utilization to update rankings based on dynamically generated content are described. The method includes identifying a ranking of content experience types of a list of content experience types. Each content experience type including parameters to generate content experience documents. The method also includes updating the ranking of content experience types. The updating includes iteratively selecting content experience types from the ranking of content experience types to generate an update subset of the ranking of content experience types, generating, for a client device, a feedback request document including a plurality of content experience documents, and receiving feedback information related to the plurality of content experience documents included in the feedback request document to update the ranking of the content experience types included in the update subset.

Dynamic resampling for ranking viewer experiences

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Mountain View, CA, United States of America

Harrison Mark Gordon