作者
Khalil Muhammad, Aonghus Lawlor, Barry Smyth
发表日期
2018/5/10
研讨会论文
The Thirty-First International Flairs Conference
简介
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.
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