An Effective Personalized Search Engine Architecture for Re-ranking Search Results Using User Behaviour

American Journal of Computer Science and Engineering Survey (AJCSES) is a peer review open access journal which publishes the state of art research in computer science and engineering survey.

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, we 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 reranking 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. Viewed documents are used to represent the user's specific interest as it contains information from the web pages clicked by the users.

 Finally the system create a semantic profile of the user's by monitor and analyze the user's search history. The search results generated will utilize and incorporation of various techniques including clustering, re-ranking and semantic user profile to enhance the performance of the web search engine Keywords: User profile, Personalization, Taxonomy, Open dictionary project.

Personalized web search provides users with results that accurately satisfy their specific goal and intent of the search. In this paper, a hybrid personalized search, reranking approach is proposed based on constructing a conceptual user profile and exploiting it in re-ranking search results.

 The user profile consists of concepts obtained by hierarchically classifying user’s clicked search results into categories from the concept hierarchy, Open Directory Project. Each concept in the user profile Consists of two types of documents; taxonomy document and viewed document.

Taxonomy document is used to represent the user general interests as it contains information from web pages originally associated with such ODP category. Viewed document is used to represent the user specific interests as it contains information from web pages clicked by the user.

Finally, for a given query, search results are reranked by semantically mapping them to the general user and specific interests from the profile together with rankings of the basic search engine.

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