Abstract
Since there have been many practical recommendation services in real world, main research questions are i) how such services provide users with recommendations, and ii) how they are different from each other. The aim of this paper is to evaluate user modeling process in several practical recommendation systems. Black-box testing scheme has been applied by comparing recommendation results. User models (i.e., a set of user ratings) have been synthesized to discriminate the recommendation results. Particularly, we focus on investigating whether the services consider attribute selection.
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Pham, X.H., Luong, T.N., Jung, J.J. (2013). An Black-Box Testing Approach on User Modeling in Practical Movie Recommendation Systems. In: Bǎdicǎ, C., Nguyen, N.T., Brezovan, M. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2013. Lecture Notes in Computer Science(), vol 8083. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40495-5_8
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DOI: https://doi.org/10.1007/978-3-642-40495-5_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40494-8
Online ISBN: 978-3-642-40495-5
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