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How to Recommend?: User Trust Factors in Movie Recommender Systems

, , and . Proceedings of the 22Nd International Conference on Intelligent User Interfaces, page 287--300. New York, NY, USA, ACM, (2017)
DOI: 10.1145/3025171.3025209

Abstract

How much trust a user places in a recommender is crucial to the uptake of the recommendations. Although prior work established various factors that build and sustain user trust, their comparative impact has not been studied in depth. This paper presents the results of a crowdsourced study examining the impact of various recommendation interfaces and content selection strategies on user trust. It evaluates the subjective ranking of nine key factors of trust grouped into three dimensions and examines the differences observed with respect to users' personality traits.

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