Hybrid filtering methods applied in web-based movie recommendation system

Authors:
Ngoc Thanh Nguyen;Maciej Rakowski;Michal Rusin;Janusz Sobecki;Lakhmi C. Jain
Affiliations:
Institute of Information Science and Engineering, Wroclaw Univ. of Technology, Poland;Institute of Applied Informatics, Wroclaw Univ. of Technology, Poland;Institute of Information Science and Engineering, Wroclaw Univ. of Technology, Poland;Institute of Applied Informatics, Wroclaw Univ. of Technology, Poland;School of Electrical and Information Engineering, Univ. of South Australia, Australia
Venue:
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Year:
2007

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Abstract

In this paper web-based movie recommendation system using hybrid filtering methods is presented. The recommender systems deliver one of the methods for increasing the web-based systems attractiveness and usability. We can distinguish three basic filtering methods that are applied in recommender systems: demographic, content-based, and collaborative. The combination of these approaches that is called hybrid method.