Abstract
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.
Original language | English |
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Pages | 74-78 |
Number of pages | 5 |
Publication status | Published - 1 Jan 2018 |
Event | 5th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, IntRS 2018 - Vancouver, Canada Duration: 7 Oct 2018 → … |
Conference
Conference | 5th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, IntRS 2018 |
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Country/Territory | Canada |
City | Vancouver |
Period | 7/10/18 → … |
Keywords
- Clothes Domain
- Package Explanation
- Package Recommendation