Google Inc.

Jay Shrauner

Yaroslav Volovich

Simon Michael Rowe

Daniel John Zigmond

Geoffrey R Smith

Iain Merrick

John Alastair Hawkins

Michael A Killianey

Kaustuv

Jun Xu

Paul Haahr

Trevor D Strohman

Erik Gross

Gabriel Schine

Adam Sadovsky

Per Bjornsson

A method includes obtaining a rank position map, the rank position map specifying, for a plurality of rank positions, an expected utility rate for a document presented at particular rank positions as a search result; determining an expected utility rate, for a particular document, based on the obtained rank position map, and based on a quantity of times that the particular document was presented as a search result at particular rank positions; determining an actual utility rate for the particular document based on an actual quantity of selections of the particular document, and based on a total quantity of times that the particular document was presented as a search result; calculating a correction factor, for the particular document, based on the determined expected utility rate and the determined actual utility rate; and adjusting a score of the particular document based on the correction factor.

Adjusting ranking of search results based on utility

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for evaluating resource selection processes. One method includes receiving test queries and generating a first group of resources corresponding to a first automated resource selection process and generating a second group of resources corresponding to a second automated resource selection process for each query. Another method includes generating a query results table for use in generating the groups of resources. The query results table maps queries to resources matched to the queries, and maps each resource to a respective score for the resource and the query, and one or more index selection signals for the resource.

Automated resource selection process evaluation

Reporting data related to content processing devices, e.g., television devices, are processed to identify channel tunes and corresponding tune times of the content processing devices. Automatically generated channel tunes based on the corresponding tune times are identified. Content items that are aired during a time period defined by the corresponding tune times can be adjusted.

Channel tune dwell time log processing

Log processing of channel tunes and channel tune times generated from a television processing device

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Jay Shrauner