Yahoo! Inc.

David Cho-Lun Ku

Jan O Pedersen

Chad Carson

Ashvin Kannan

Rukmini Iyer

Erick Cantu-Paz

Pero Subasic

Christopher C LuVogt

Christopher John Leggetter

The present invention is directed towards systems and methods for determining the performance of a plurality of versions of a given advertisement. The method of the present invention comprises retrieving a first version of an advertisement and associated click through data, and retrieving a second version of the advertisement and associated click through data. A clickability score is calculated for the first version of the advertisement using the click through data associated with the first version, and a clickability score is calculated for the second version of the advertisement using the click through data associated with the second version. A difference in clickability scores is determined between the first and second advertisement. The clickability score associated with the first version of the advertisement is modified based upon the difference in clickability scores.

System and method for discounting of historical click through data for multiple versions of an advertisement

The present invention is directed towards systems and methods for ranking one or more advertisements. The method of the present invention comprises retrieving a result set comprising one or more advertisements responsive to a request. A clickability score is calculated for the one or more advertisements comprising the result set. An expected revenue value is calculated for the one or more advertisements using the clickability scores of the one or more advertisements as well as an indication of revenue associated with the one or more advertisements. The one or more advertisements are ordered according to the expected revenue of the one or more advertisements.

System and method for revenue based advertisement placement

The present invention is directed towards systems and methods for predicting a frequency with which an advertisement displayed in response to a query will be selected. The method of the present invention comprises receiving analytics data associated with a display of one or more advertisements in response to one or more queries. One or more features associated with the one or more advertisements displayed in response to the one or more queries are identified. One or more functions are generated for predicting a frequency with which a given advertisement displayed in response to a query will be selected using the analytics data and features associated with the one or more advertisements displayed in response to the one or more queries.

System and method for generating functions to predict the clickability of advertisements

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Palo Alto, CA, United States of America

David Cho-Lun Ku