Abstract
This paper proposes the design, development and evaluation of a hybrid video recommendation system. The proposed hybrid video recommendation system is based on a graph algorithm called Adsorption. Adsorption is a collaborative filtering algorithm in which relations between users are used to make recommendations. In this paper, Adsorption algorithm is enriched by content based filtering to provide better suggestions. Thus, collaborative recommendations are empowered considering item similarities. Therefore, the developed hybrid system combines both collaborative and content based approaches to produce more effective suggestions.
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© 2011 Springer-Verlag Berlin Heidelberg
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Öztürk, G., Kesim Cicekli, N. (2011). A Hybrid Video Recommendation System Using a Graph-Based Algorithm. In: Mehrotra, K.G., Mohan, C.K., Oh, J.C., Varshney, P.K., Ali, M. (eds) Modern Approaches in Applied Intelligence. IEA/AIE 2011. Lecture Notes in Computer Science(), vol 6704. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21827-9_42
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DOI: https://doi.org/10.1007/978-3-642-21827-9_42
Publisher Name: Springer, Berlin, Heidelberg
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