Search Engine Selection and Result Merging Method Based on Users Feedback
Kang Mu-ning · Jisuanji gongcheng · 2007
In order to improve the precision of meta search engine,a model based on user’s feedback is described.Via analyzing users’estimate on search result,the search engine quality value and user estimate value are defined.A search engine selection method is designed according to the search engine quality value,and it can select the search engine,which has the high precision of the specific query.A result merge method combined with user estimate value is designed,it uses subjective and objective factor together,and returns the most precise result to users.