Understanding how to Explain Package Recommendations in the Clothes Domain

Wibowo, Agung Toto; Siddharthan, Advaith; Masthoff, Judith Francoise Maria and Lin, Chenghua (2018). Understanding how to Explain Package Recommendations in the Clothes Domain. In: Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS) in the 12th ACM Conference on Recommender Systems (RecSys), 2018.

URL: http://ceur-ws.org/Vol-2225/paper11.pdf


Recommender system explanations have been widely studied in the context of recommending individual items to users. In this paper, we present and evaluate explanations for the more complex problem of package recommendation, where a combination of items that go well together are recommended as a package. We report the results of an empirical user study where participants try to select the most appropriate combination of a “top” (e.g. a shirt) and a “bottom” (e.g. a pair of trousers) for a hypothetical user based on one of 5 types of explanation communicating item-feature preferences and/or appropriateness of feature combinations. We found that the type of explanation significantly impacted decision time and resulted in selection of different packages, but found no difference
in how participants appraised the different explanation types.

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