This paper extends recent work on the use of explanations in recommender systems. In particular, we show how explanations can be used to rank as well as justify recommendations, then we compare the results to more conventional recommendation approaches, in three large-scale application domains.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
AAAI Publications
Copyright (Published Version)
2018 Association for the Advancement of Artificial Intelligence
