A Personalized Reordering System of Searched Web Pages
نویسندگان
چکیده
The commercial engines retrieved the appropriate documents by user’s keyword. Therefore, they reduce user’s effort and time to find appropriate information. However, the web page list retrieved from the engines is still not enough for user effort free. It is because the search target for each user is usually different according to user profile. Thus, it is need to reorder web page list according to user profile. In this paper we propose a system of reordering web pages retrieved from a search engine based on the keyword weights in user’s interested documents. Each keyword weight is updated by some user’s behaviors. So, the retrieved actions of search engines are repeatedly doing according to those weights at next time.
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