Abstract
This thesis investigates the properties of a good explanation in a movie recommender system. Beginning with a summarized literature review, we suggest seven criteria for evaluation of explanations in recommender systems. This is followed by an attempt to define the properties of a useful explanation, using a movie review corpus and focus groups. We conclude with planned experiments and evaluation. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Tintarev, N. (2007). Explaining recommendations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4511 LNCS, pp. 470–474). Springer Verlag. https://doi.org/10.1007/978-3-540-73078-1_67
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