Prediction strategies in a TV recommender system - Method and experiments


Setten, M.J. van and Veenstra, M. and Dijk, E.M.A.G. van and Nijholt, A. (2003) Prediction strategies in a TV recommender system - Method and experiments. In: Proceedings IADIS International Conference WWW/Internet 2003, 5-8 November 2003, Algarve, Portugal (pp. pp. 203-210).

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Abstract:Predicting the interests of a user in information is an important process in personalized information systems. In this paper, we present a way to create prediction engines that allow prediction techniques to be easily combined into prediction strategies. Prediction strategies choose one or a combination of prediction techniques at the moment a prediction is required, taking into account the most up -to-date knowledge about the current user, other users, the information and the system itself. Results of two experiments show that prediction strategies improve both the accuracy and stability of prediction engines. One of these experiments involves a TV recommender system. This paper describes the method of prediction strategies, how they have been applied in the TV recommender system and results of the experiment in detail.
Item Type:Conference or Workshop Item
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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