Evaluating user preferences of web search results is crucial for search engine optimization. This paper＇ s key insight is robustness of implicit feedback data, improving the accuracy of user preferences model. This paper researches how to exploit implicit feedback information when users interact with meatasearch engine to improve database selection. Language model is used to construct user action information. User action model is updatel actively when users interact with meta search engine, and it adaptive...
