International Journal of Innovative Science Engineering and Technology (IJISET)
Web search engines provide users with a large number of results for a submitted query. However, not all return results are relevant to the uses needs. In this paper, the authors proposed a new web search personalization approach that captures the user's interest and references in the form of concepts by mining search results and they click through. In this paper, an effective mixture personalized re-ranking search approach is proposed by modeling user's search wellbeing in a conceptual user profile and then exploiting this profile in the re-ranking process. In this each concept in the user profile consist of two types of documents: categorization document and viewed document taxonomy is used to represent the user general interest as it contains information from web pages originally associated with open dictionary project category.