Personalization Recommendation System Based on Search Result
Haitao Yang, Lei Shi, Wei Yen Lin · Computer Engineering and Applications Journal · 2006
It is a remarkable problem that the amount of results returned by search engines is too large and the engines can't provide the users with required results based on their interest.This paper puts forward an improved STC algorithm by combining user-interest model with STC clustering algorithm.In addition,a policy of personalization recommendation and a method of updating user-interest profile are also proposed at the same time.A personalization recommendation system based on search result(SRPRS) has been implemented by the use of the improved STC algorithm.SRPRS can organize search results automatically,and help the users find the needed results with the specific topics.Finally,the paper analyzes the clustering and time properties of the SRPRS by experiments.In allusion to the search result list,SRPRS has a better performance in fast finding the user's interested documents.