A hybrid approach for movie recommendation

Authors:
George Lekakos;Petros Caravelas
Affiliations:
ELTRUN-the eBusiness center, Department of Management Science and Technology, Athens University of Economics and Business, Athens, Greece 11362;ELTRUN-the eBusiness center, Department of Management Science and Technology, Athens University of Economics and Business, Athens, Greece 11362
Venue:
Multimedia Tools and Applications
Year:
2008

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Abstract

Collaborative and content-based filtering are the major methods in recommender systems that predict new items that users would find interesting. Each method has advantages and shortcomings of its own and is best applied in specific situations. Hybrid approaches use elements of both methods to improve performance and overcome shortcomings. In this paper, we propose a hybrid approach based on content-based and collaborative filtering, implemented in MoRe, a movie recommendation system. We also provide empirical comparison of the hybrid approach to the base methods of collaborative and content-based filtering and draw useful conclusions upon their performance.