Google Inc.

Timothy John Wright

Chao Cai

William Patrick Kee

David Earl Barney

Yuan Zhuge

Jieyan Fan

Itai Raz

Kanupriya Singhal

Niranjan Heddese Sitaram Shastry

Xuan Liu

Sze Chit Ho

Yubao Yu

Richard Maher

Systems and methods of evaluating performance of an information resource in a computer networked environment are provided. A data processing system can obtain a request for a performance metric of an information resource. A number of visits to the information resource by an audience segment, and an aggregate number of visits to the information resource can be determined and used to identify a first metric. A global audience segment number and a global aggregate audience number can also be determined and used to identify a second metric. A performance metric associated with the information resource can get determined based on the first metric and the second metric.

Performance evaluation of an information resource in a computer network environment

A request for aggregate data stored in an aggregates database is received from a client device. A key-to-value dimension widening rule that applies to an aggregated data element of the requested data is identified. The key-to-value dimension widening rule includes a value dimension. A quantity of data elements that combined to form the aggregated data element is determined. A widened value dimension for the aggregated data element is calculated using the determined quantity and the value dimension. The widened value dimension is reported to the client device in response to the request.

Dimension widening aggregate data

The present disclosure provides systems and methods for enhancing audience measurement data. Offline and online audience measurement data may be compared and correlated to improve the quality of each data and source set. Positive correlations between the offline and online data sets related to a particular event may indicate demographic traits that are likely true, such that outliers may be removed from the set or considered at a reduced weight. Negative correlations may indicate that demographic information within a source set, such as the online measurement data, may be false or suspect.

Systems and methods for enhancing audience measurement data

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Mountain View, CA, United States of America

Timothy John Wright