Friday 29th of March 2024
 

Enhancing Web Search with Semantic Identification of User Preferences


Naglaa Fathy, Nagwa Badr, Mohamed Hashem and Tarek F. Gharib

Personalized web search is able to satisfy individuals information needs by modeling long-term and short-term user interests based on user actions, browsed documents or past queries and incorporate these in the search process. In this paper, we propose a personalized search approach which models the user search preferences in an ontological user profile and semantically compares this model against user current query context to re-rank search results. Our user profile is based on the predefined ontology Open Directory Project (ODP) so that after a user\'s search, relevant web pages are classified into topics in the ontology using semantic and cosine similarity measures. Moreover, interest scores are assigned to topics based on the users ongoing behavior. Our experiments show that re-ranking based on the semantic evidence of the updated user profile efficiently satisfies user information needs with the most relevant results being brought on to the top of the returned results.

Keywords: Search Personalization, user profile, ODP, re-rank, semantic similarity

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ABOUT THE AUTHORS

Naglaa Fathy
Teacher Assistant, Faculty of computer and information sciences, Ain shams university, Egypt. She received the B.S. degrees in Computer Science in 2006.

Nagwa Badr
Dr.Nagwa Badr is an associate Professor, Faculty of computer and information science, Ain shams University, Egypt. She received the B.S. degrees in Computer Science in 1996, and PhD 2000-2003, in Software engineering and distributed system, Liverpool John moorse university, U.K. Postdoctoral in Glasgow University, U.K 2003-2006.

Mohamed Hashem
Prof.Mohamed Hashem is the vice dean for students affairs, Faculty of Computer and Information Sciences, Ain Shams University, Egypt. His research interests are computer networks, Ad-hoc and wireless networks, Qos Routing of wired and wireless networks, Modeling and simulation of computer networks, VANET and computer and network security.

Tarek F. Gharib
Prof.Tarek Fouad Gharib is a Professor of Information Systems at Department of Information Systems, Ain Shams University, Cairo, Egypt. He received his Ph.D. degree in Theoretical Physics from the University of Ain Shams in 1994. His research interests include data mining techniques, bioinformatics, graph and sequential data mining and information retrieval. He received the National Science Foundation Award in 2001. Prof Gharib currently is in sabbatical at Faculty of Computing and Information Technology, King Abdul-Aziz University, Kingdom of Saudi Arabia.


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