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SYSTEMS AND METHODS FOR EFFICIENTLY RANKING ADVERTISEMENTS BASED ON RELEVANCY AND CLICK FEEDBACK
SYSTEMS AND METHODS FOR EFFICIENTLY RANKING ADVERTISEMENTS BASED ON RELEVANCY AND CLICK FEEDBACK
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机译:基于权限和点击反馈对广告进行有效排名的系统和方法
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摘要
The present invention provides a method and system for ranking and selecting advertisements based on relevancy, click feedback and click over expected click (COEC) data. Advertisements may be described as contextual, page-embedded advertisements appearing on publisher websites. The method and system includes storing page-advertisement relevancy features in a vector space model and historical impression and click features in a click feedback model and analyzing data in the vector space model and click feedback model. The method and system further includes storing empirical click-through data in a serving log and analyzing data therein. The method and system then generates a regression model based on the analyzed data, which is stored in a regression storage module. The method and system receives requests for advertisement content from client devices, selects a plurality of candidate advertisements based on the generated regression model and provides a plurality of advertisements to a client device.
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