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Recommender System Framework Using Clustering and Collaborative Filtering

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4 Author(s)
Mittal, N. ; MNIT, Jaipur, India ; Nayak, R. ; Govil, M.C. ; Jain, K.C.

Collaborative filtering is becoming greatly popular as it contributes in reducing information overload. Collaborative filtering based recommender system focuses on predicting new items of interest for a user based on correlations computed between that user and other users. In this paper we propose a framework based on, application of data partitioning/clustering algorithm on ratings dataset followed by collaborative filtering for developing a Movie Recommender System. The proposed system reduces the computation time considerably and increases the prediction accuracy.

Published in:

Emerging Trends in Engineering and Technology (ICETET), 2010 3rd International Conference on

Date of Conference:

19-21 Nov. 2010