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Hybrid Filtering Methods Applied in Web-Based Movie Recommendation System

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2007)

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.

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Bruno Apolloni Robert J. Howlett Lakhmi Jain

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© 2007 Springer-Verlag Berlin Heidelberg

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Nguyen, N.T., Rakowski, M., Rusin, M., Sobecki, J., Jain, L.C. (2007). Hybrid Filtering Methods Applied in Web-Based Movie Recommendation System. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4692. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74819-9_26

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  • DOI: https://doi.org/10.1007/978-3-540-74819-9_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74817-5

  • Online ISBN: 978-3-540-74819-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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