Yahoo! Inc.

Supratim Roy Chaudhury

Ramazan Demir

Kerem Tomak

Jiaqi Jin

Amitabh Seth

Christopher L Hogan

Embodiments of the present invention are directed to identifying a source of bias in a sample set and using statistical techniques to overcome the bias, thereby producing extrapolated data that accurately represents a population including the sample set. The method according to one embodiment comprises identifying a plurality of attributes corresponding to an entity, generating a plurality of clusters from the plurality of attributes, the plurality of clusters including varying numbers of the plurality of attributes, and performing measurements on each of the plurality of clusters to generate measurement data values for each of the plurality of clusters. A cluster with a greatest measurement data value is selected.

System and method for extrapolating data from a sample set

A method for maximizing page yield in advertisement display to Web users includes tracking click activity associated with advertisements displayed to users through a hierarchal set of search results pages associated with a keyword; tracking bidding activity by advertisers related to the keyword and corresponding advertisements of the advertisements; applying at least one component model to the click or bidding activity as correlated with a particular search results page of the hierarchal set of search results pages via which the advertisements receiving the click activity are displayed, wherein the at least one component model generates a set of output values representative of the tracked click activity; and providing the output values to the at least one component model to iteratively optimize a number of advertisements displayed on the particular search results page via which at least some of the advertisements are displayed in response to a query for the keyword.

Advertisement display depth optimization to maximize click activity page yield

A method for valuating an advertiser considered for acquisition includes capturing click-related data by users with reference to a plurality of advertisements owned by a plurality of advertisers in a keyword market; calculating a marginal value of each of the plurality of advertisers as a function of a plurality of averaged market factors, wherein the marginal value of an additional advertiser is also calculated to result in at least an estimated displaced revenue if at least one advertisement of the additional advertiser for at least one keyword were competitively included in the keyword market; and deciding whether to pursue the additional advertiser based on the marginal value of the additional advertiser as associated with the at least one keyword.

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Santa Clarita, CA, United States of America

Supratim Roy Chaudhury