Collaborative Personalized Web Recommender System using Entropy based Similarity Measure
On the internet, web surfers, in the search of information, always strive for recommendations. The solutions for generating recommendations become more difficult because of exponential increase in information domain day by day. In this paper, we have calculated entropy based similarity between users to achieve solution for scalability problem. Using this concept, we have implemented an online user based collaborative web recommender system. In this model based collaborative system, the user session is divided into two levels. Entropy is calculated at both the levels. It is shown that from the set of valuable recommenders obtained at level I; only those recommenders having lower entropy at level II than entropy at level I, served as trustworthy recommenders. Finally, top N recommendations are generated from such trustworthy recommenders for an online user.
Keywords: Collaborative Web Recommender System, Trustworthy users, Entropy based Similarity.
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ABOUT THE AUTHORS
Harita Mehta
Ms. Harita Mehta is a Research Scholar and working as an Assistant Professor in the Department of Computer Science, Acharya Narender Dev College, University of Delhi. Her research area is Web Recommender Systems and is currently pursuing PhD under Dr. V.S. Dixit from Department of Computer Science, University of Delhi.
Shveta Kundra Bhatia
Ms. Shveta Kundra Bhatia is a Research Scholar and working as an Assistant Professor in the Department Of Computer Science, Swami Sharaddhanand College, University of Delhi. Her research area is Web Usage Mining and is currently pursuing PhD under Dr. V.S. Dixit from Department of Computer Science, University of Delhi.
Punam Bedi
Dr. Punam Bedi received her Ph.D. in Computer Science from the Department of Computer Science, University of Delhi, India in 1999 and her M.Tech. in Computer Science from IIT Delhi, India in 1986. She is an Associate Professor in the Department of Computer Science, University of Delhi. She has about 25 years of teaching and research experience and has published more than 110 research papers in National/International Journals/Conferences. Dr. Bedi is a member of AAAI, ACM, senior member of IEEE, and life member of Computer Society of India. Her research interests include Web Intelligence, Soft Computing, Semantic Web, Multi-agent Systems, Intelligent Information Systems, Intelligent Software Engineering, Software Security, Intelligent User Interfaces, Requirement Engineering, Human Computer Interaction (HCI), Trust, Information Retrieval, Personalization, Steganography and Steganalysis.
V. S. Dixit
Dr. V. S. Dixit is working as senior Assistant Professor in the Department Of Computer Science, AtmaRam Sanatam Dharam College, University of Delhi. His research area is Queuing theory, Peer to Peer systems, Web Usage Mining and Web Recommender systems. He is currently engaged in supervising the research scholars (Ms Harita Mehta and Ms Shveta Kundra Bhatia) for PhD. He is Life member of IETE.
Harita Mehta
Ms. Harita Mehta is a Research Scholar and working as an Assistant Professor in the Department of Computer Science, Acharya Narender Dev College, University of Delhi. Her research area is Web Recommender Systems and is currently pursuing PhD under Dr. V.S. Dixit from Department of Computer Science, University of Delhi.
Shveta Kundra Bhatia
Ms. Shveta Kundra Bhatia is a Research Scholar and working as an Assistant Professor in the Department Of Computer Science, Swami Sharaddhanand College, University of Delhi. Her research area is Web Usage Mining and is currently pursuing PhD under Dr. V.S. Dixit from Department of Computer Science, University of Delhi.
Punam Bedi
Dr. Punam Bedi received her Ph.D. in Computer Science from the Department of Computer Science, University of Delhi, India in 1999 and her M.Tech. in Computer Science from IIT Delhi, India in 1986. She is an Associate Professor in the Department of Computer Science, University of Delhi. She has about 25 years of teaching and research experience and has published more than 110 research papers in National/International Journals/Conferences. Dr. Bedi is a member of AAAI, ACM, senior member of IEEE, and life member of Computer Society of India. Her research interests include Web Intelligence, Soft Computing, Semantic Web, Multi-agent Systems, Intelligent Information Systems, Intelligent Software Engineering, Software Security, Intelligent User Interfaces, Requirement Engineering, Human Computer Interaction (HCI), Trust, Information Retrieval, Personalization, Steganography and Steganalysis.
V. S. Dixit
Dr. V. S. Dixit is working as senior Assistant Professor in the Department Of Computer Science, AtmaRam Sanatam Dharam College, University of Delhi. His research area is Queuing theory, Peer to Peer systems, Web Usage Mining and Web Recommender systems. He is currently engaged in supervising the research scholars (Ms Harita Mehta and Ms Shveta Kundra Bhatia) for PhD. He is Life member of IETE.
