Inventors: Ross Koningstein, Stephen Lawrence, and Valentin Spitkovsky
US Patent Application 20060149710
Published July 6, 2006
Filed on December 30, 2004
Abstract
Features that may be used to represent relevance information (e.g., properties, characteristics, etc.) of an entity, such as a document or concept for example, may be associated with the document by accepting an identifier that identifies a document; obtaining search query information (and/or other serving parameter information) related to the document using the document identifier, determining features using the obtained query information (and/or other serving parameter information), and associating the features determined with the document. Weights of such features may be similarly determined. The weights may be determined using scores. The scores may be a function of one or more of whether the document was selected, a user dwell time on a selected document, whether or not a conversion occurred with respect to the document, etc. The document may be a Web page. The features may be n-grams. The relevance information of the document may be used to target the serving of advertisements with the document.
数据挖掘实验室
The process detailed in the next patent application aims at improving the relevancy of ads, and helping in suggesting targeted terms by allowing an advertiser to submit broad targeting information. While serving ads using that information, the search engine would log and collect search query terms, and possibly concepts and concept keywords, associated with the serving of the ad, and suggest candidate targeting keywords or phrases to the advertiser from those logs. 数据挖掘实验室
Suggesting and/or providing targeting information for advertisements
Inventors: Ross Koningstein
