Do Users Appreciate Explanations of Recommendations? An Analysis in the Movie Domain

RECSYS(2021)

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摘要
ABSTRACT In this paper, we provide insights into users’ needs regarding the inclusion of explanations in a movie recommender system. We have developed different variants of a movie recommender system prototype corresponding to different types of explanations and conducted an online user study to evaluate related explanations. The experimental results show that users do not always appreciate explanations. They want to see explanations when they are not satisfied with the recommended items. They expect to see explanations showing how well the recommended item meets their preferences. Moreover, explanation goals are interdependent and affect the overall satisfaction of users with the recommender system.
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关键词
Movie Recommender Systems, Explanations, Collaborative Filtering-based Explanation, Content-based Explanation, Feature-based Explanation, Demographic-based Explanation, Knowledge-based Explanation
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