Optimization mechanism for Web Search Results using Topic Knowledge

Web searching is one of the most frequent activities among the Internet community, but perhaps the most complicated one, because of the abundant resulting information available. Users find themselves a lot of times puzzled before long results ’ ranking lists that are compiled without considering their individual preferences and needs. In this work, we present a mechanism that re-ranks and groups search results on the user’s side according to his/her explicit and implicit choices. Furthermore, to minimize personalization effect response time a caching strategy is introduced. A web environment prototype has been developed to exemplify the potentials of the proposed mechanism. User assessment has been conducted to verify the effectiveness of the mechanism. Results and feedback has been efficient and encouraging respectively