Personalization techniques for Web search results categorization

Generic Web search is designed to serve all users, independent of the individual needs and without any adaptation to personal requirements. We propose a novel technique that performs post-categorization to the results of popular search engines at the client´s side. A user profile is built based on user´s choices from a category hierarchy (explicitly given requirements) and user´s search history (implicitly logged choices). Caching is utilized in order to provide improved responses. An experimental prototype has been implemented based on results coming from a popular search engine. The experimental results indicate strongly that the proposed mechanism is both effective and efficient.