Google Inc.

Affymetrix, Inc.

Dan Liu

Marc Berndl

Diane L Tang

Adam Isaac Juda

Karthik Gopalratnam

Jonathan G Alferness

Sridhar Ramaswamy

Myles A Sussman

Melvin Yamamoto

Nicholas Charles Fox

Gagan Aggarwal

Josh T Wills

Amir Najmi

John S Sze

Levent Ertöz

Keith S Pearson

Philip C Trenholme

Chi Sou Yu

Derek Leslie-Cook

Humphrey H Nash, Jr

Clifford A Oostman, Jr

Technologies relating to determining online advertisement statistics are described. In general, one aspect of the subject matter described in this specification can be embodied in a method that includes receiving a prediction value for a click-through rate for an online advertisement, the prediction value indicating a probability that the online advertisement will be accessed when displayed in an online medium, the prediction value based on a ratio of a number of times the advertisement has been accessed by users to a number of times the advertisement has been displayed to users, identifying at least one condition that is present when the online advertisement is to be displayed, the condition affecting accuracy of the prediction value, and generating a corrected prediction value based on at least one stored shift value associated with the at least one condition.

Determining online advertisement statistics

This specification describes technologies relating to displaying online content. In general, one aspect of the subject matter described in this specification can be embodied in methods that include receiving a collection of advertisement candidates for display in an online medium, the advertisement candidates each assigned a quality score calculated based at least in part on a measure indicative of relevance of the respective advertisement candidate to online content for concurrent display in the online medium, determining a score threshold based at least in part on relationships among multiple quality scores of the quality scores associated with the advertisement candidates in the collection of advertisement candidates, and based on the determined score threshold, identifying a subset of advertisement candidates of the collection for display. Other embodiments of this aspect include corresponding systems, apparatus, and computer program products.

Selection and display of online advertisements

The present invention provides methods to process multiple sensors by providing a sensor plate and HT plates. In a preferred embodiment of the invention, methods for assembling microarray pegs and microarray plates are described for high throughput microarray processing.

Automated method of manufacturing polyer arrays

In general, in one aspect, a first request to provide one or more advertisements on a first web page is received, the first web page comprising one or more items of web content related to a query. A first quality score is calculated for a first advertisement included in a set of one or more candidate advertisements. The first advertisement is presented on the first web page based at least in part on the first quality score. A second request is received to provide one or more advertisements on a second web page, the second web page comprising one or more different items of web content related to the query. A second quality score for the first advertisement is calculated based at least in part on the previous presentation of the first advertisement. It is determined whether to present the first advertisement on the second web page based at least in part on the second quality score.

Advertisement selection

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Sunnyvale, CA, United States of America

Dan Liu