Generating Consensus Explanations for Group Recommendations

Generating Consensus Explanations for Group Recommendations: An exploratory study

Najafian, S. (TU Delft Web Information Systems)
Tintarev, N. (TU Delft Web Information Systems)

2018

In some scenarios, like music, people often consume items in groups. However, reaching a consensus is difficult, and often compromises need to be made. Such compromises can potentially help users expand their tastes. They can also lead to outright rejection of the recommended items. One way to avoid this is to explain recommendations that are surprising, or even expected to be disliked, by an individual user. This paper presents an approach for generating explanations for groups. We propose algorithms for selecting a sequence of songs for a group to consume. These algorithms consider consensus but have different trade-offs. Next, using these algorithms we generated explanations in a layered evaluation using synthetic data. We studied the influence of these explanations in structured interviews with users (n=16) on user satisfaction

Explanations
Group recommendation
Sequences

http://resolver.tudelft.nl/uuid:8dc64b7a-5714-4f48-8b22-f37bfb496af9

https://doi.org/10.1145/3213586.3225231

Association for Computer Machinery, New York, NY

978-1-4503-5784-5

UMAP '18 Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization

UMAP 2018, 2018-07-08 → 2018-07-11, Singapore, Singapore

UMAP Late breaking Results Accepted author manuscript

Institutional Repository

conference paper

© 2018 S. Najafian, N. Tintarev