This paper studies the properties of a helpful and trustworthy explanation in a movie recommender system. It discusses the results of an experiment based on a natural language explanation prototype. The explanations were varied according to three factors: degree of personalization, polarity and expression of unknown movie features. Personalized explanations were not found to be significantly more Effective than non-personalized, or baseline explanations. Rather, explanations in all three conditions performed surprisingly well. We also found that participants evaluated the explanations themselves most highly in the personalized, feature-based condition. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Tintarev, N., & Masthoff, J. (2008). The effectiveness of personalized movie explanations: An experiment using commercial meta-data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5149 LNCS, pp. 204–213). https://doi.org/10.1007/978-3-540-70987-9_23
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