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Leveraging Interfaces to Improve Recommendation Diversity

, and . Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization, page 65--70. New York, NY, USA, ACM, (2017)
DOI: 10.1145/3099023.3099073

Abstract

Increasing diversity in the output of a recommender system is an active research question for solving a long-tail issue. Most of the current approaches have focused on ranked list optimization to improve recommendation diversity. However, little is known about the effect that a visual interface can have on this issue. This paper shows that a multidimensional visualization promotes diversity of social exploration in the context of an academic conference. Our study shows a significant difference in the exploration pattern between ranked list and visual interfaces. The results show that a visual interface can help the user explore a a more diverse set of recommended items.

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Leveraging Interfaces to Improve Recommendation Diversity

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