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Measuring "Why" in Recommender Systems: a Comprehensive Survey on the
  Evaluation of Explainable Recommendation

Measuring "Why" in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation

14 February 2022
Xu Chen
Yongfeng Zhang
Jingxuan Wen
    XAI
    ELM
    OffRL
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Papers citing "Measuring "Why" in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation"

3 / 3 papers shown
Title
Large Language Models as Evaluators for Recommendation Explanations
Large Language Models as Evaluators for Recommendation Explanations
Xiaoyu Zhang
Yishan Li
Jiayin Wang
Bowen Sun
Weizhi Ma
Peijie Sun
Min Zhang
LRM
ELM
48
12
0
05 Jun 2024
UIPC-MF: User-Item Prototype Connection Matrix Factorization for
  Explainable Collaborative Filtering
UIPC-MF: User-Item Prototype Connection Matrix Factorization for Explainable Collaborative Filtering
Lei Pan
V. Soo
35
0
0
14 Aug 2023
Towards Explainable Conversational Recommender Systems
Towards Explainable Conversational Recommender Systems
Shuyu Guo
Shuo Zhang
Weiwei Sun
Pengjie Ren
Zhumin Chen
Z. Ren
LRM
21
13
0
27 May 2023
1