The fundamental component of any personalization application is user profiling. A good user profiling strategy is an essential and fundamental component in search engine personalization. Evaluating user preferences of web search results is crucial for search engine development, deployment and maintenance. This paper focuses on search engine personalization and concept-based user profiling that are based on both positive and negative preferences of the users. The underlying idea of our proposed system is based on concepts and their relations extracted from the submitted queries, the Web-snippets and the click through data. Incorporating user behaviors data can significantly improve ordering of top results in web searching. The relationships between users can be mined from the concept-based user profiles to perform collaborative filtering.This allows users with the same interests to share their profiles.Finally,the concept-oriented user profiles can be integrated into the ranking algorithms of search engine so that search results can be ranked according to individual user’s interest.

Full text: IJEIR_968_Final.pdf