Abstract: Methods, apparatuses and systems directed to predicting the performance of an information package or module presented on a network addressable resource, such as a web page. A particular implementation relies on regression models that utilize statistical measures of user interest in terms, concepts and other subject matter as revealed in on-line search activity of a pool of users. A model receives as inputs a plurality of attribute values corresponding to an information package or module (including one or more statistical measures of interest) and outputs an estimated click-thru rate.

Abstract: Methods, apparatuses and systems directed to predicting the performance of an information package or module presented on a network addressable resource, such as a web page. The present invention, in some particular implementations, relies on regression models that utilize statistical measures of user interest in terms, concepts and other subject matter as revealed in on-line search activity of a pool of users. In a particular implementation, a model receives as inputs a plurality of attribute values corresponding to an information package or module (including one or more statistical measures of interest) and outputs an estimated click-thru rate.