Research of Result Conformity Algorithm based on Personalized Meta-search
Tan Guanghua · Science Technology and Engineering · 2011
Meta-search,which is a search engine-based search engine,provides more comprehensive information for users by presenting the integrated results from individual search engines,but it′s not an easy task to find the information required for the users from the huge number of search results quickly.A personalized meta-search engine model based on user interest is presented,which gives users the most interesting information at the top as far as possible by extracting the behavior of individual users,establishing user interest database,sorting and integrating search results reasonably,to achieve a personalized meta-search and to improve user search precision and efficiency.