Explainable recommendation has shown its great advantages for improving recommendation persuasiveness, user satisfaction, system transparency, among others.
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Weighted kappa: nominal scale agreement provision for scaled disagreement or partial credit
Jacob Cohen · 1968
Earlier work this paper cites.
Bleu: a method for automatic evaluation of machine translation
et al. Papineni, Kishore · 2002
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Recommendation technologies: Survey of current methods and possible extensions
Gediminas et al. Adomavicius · 2004
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Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin · 2004
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A survey of e-commerce recommender systems
Kangning et al. Wei · 2007
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A survey of accuracy evaluation metrics of recommendation tasks
Asela et al. Gunawardana · 2009
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A survey of music recommendation systems and future perspectives
Yading et al. Song · 2012
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Tagcloud-based explanation with feedback for recommender systems
Wei Chen, Wynne Hsu, and Mong Li Lee · 2013
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Social network based recommendation systems: A short survey
Song et al. Chen · 2013
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Knowledge-based recommendation systems: A survey
Sarah et al. Bouraga · 2014
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Sentiment-enhanced explanation of product recommendations
Li Chen and Feng Wang · 2014
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Explicit factor models for explainable recommendation based on phrase-level sentiment analysis
Yongfeng Zhang, Guokun Lai, Min Zhang, Yi Zhang, Yiqun Liu, and Shaoping Ma · 2014
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Trirank: Review-aware explainable recommendation by modeling aspects
Xiangnan He, Tao Chen, Min-Yen Kan, and Xiao Chen · 2015
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A survey of point-of-interest recommendation in location-based social networks
Yonghong et al. Yu · 2015
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Rating-boosted latent topics: Understanding users and items with ratings and reviews
Yunzhi Tan, Min Zhang, Yiqun Liu, and Shaoping Ma · 2016
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Using explainability for constrained matrix factorization
Behnoush Abdollahi and Olfa Nasraoui · 2017
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Attentive collaborative filtering: Multimedia recommendation with item-and component-level attention
Jingyuan et al. Chen · 2017
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A survey of personalised image retrieval and recommendation
Zhenyan et al. Ji · 2017
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Neural a entional rating regression with review-level explanations.(2018)
Chong Chen, Min Zhang, Yiqun Liu, and Shaoping Ma · 2018
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Explainable recommendation via multi-task learning in opinionated text data
Nan Wang, Hongning Wang, Yiling Jia, and Yue Yin · 2018
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Explainable recommendation: A survey and new perspectives
Yongfeng et al. Zhang · 2018
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Transparent, scrutable and explainable user models for personalized recommendation
Krisztian Balog, Filip Radlinski, and Shushan Arakelyan · 2019
Cited alongside, same era.
Personalized fashion recommendation with visual explanations based on multimodal attention network: Towards visually explainable recommendation
Xu Chen, Hanxiong Chen, Hongteng Xu, Yongfeng Zhang, Yixin Cao, Zheng Qin, and Hongyuan Zha · 2019
Cited alongside, same era.
Incorporating interpretability into latent factor models via fast influence analysis
Weiyu Cheng, Yanyan Shen, Linpeng Huang, and Yanmin Zhu · 2019
Cited alongside, same era.
Explainable recommendation through attentive multi-view learning
Jingyue Gao, Xiting Wang, Yasha Wang, and Xing Xie · 2019
Cited alongside, same era.
In2rec: Influence-based interpretable recommendation
Huafeng Liu, Jingxuan Wen, Liping Jing, Jian Yu, Xiangliang Zhang, and Min Zhang · 2019
Cited alongside, same era.
Justifying recommendations through aspect-based sentiment analysis of users reviews
Cataldo Musto, Pasquale Lops, Marco de Gemmis, and Giovanni Semeraro · 2019
Cited alongside, same era.
How good your recommender system is? a survey on evaluations in recommendation
Thiago et al. Silveira · 2019
Cited alongside, same era.
The fact: Taming latent factor models for explainability with factorization trees
Yiyi Tao, Yiling Jia, Nan Wang, and Hongning Wang · 2019
Cited alongside, same era.
Evaluating visual explanations for similarity-based recommendations: User perception and performance
Chun-Hua Tsai and Peter Brusilovsky · 2019
Cited alongside, same era.
Explainable reasoning over knowledge graphs for recommendation
Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, and Tat-Seng Chua · 2019
Cited alongside, same era.
Interpretable fashion matching with rich attributes
Xun Yang, Xiangnan He, Xiang Wang, Yunshan Ma, Fuli Feng, Meng Wang, and Tat-Seng Chua · 2019
Cited alongside, same era.
Deep learning based recommender system: A survey and new perspectives
Shuai et al. Zhang · 2019
Cited alongside, same era.
Towards controllable explanation generation for recommender systems via neural template
Lei et al. Li · 2020
Later among the works it cites.
Directional and explainable serendipity recommendation
Xueqi et al. Li · 2020
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Explainable recommender systems via resolving learning representations
Ninghao et al. Liu · 2020
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On the use of feature-based collaborative explanations: An empirical comparison of explanation styles
Sidra et al. Naveed · 2020
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Explainable recommendation for repeat consumption
Kosetsu et al. Tsukuda · 2020
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Personalized employee training course recommendation with career development awareness
Chao et al. Wang · 2020
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Cafe: Coarse-to-fine neural symbolic reasoning for explainable recommendation
Yikun et al. Xian · 2020
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Temporal meta-path guided explainable recommendation
Hongxu et al. Chen · 2021
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Towards explainable conversational recommendation
Zhongxia et al. Chen · 2021
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On-demand personalized explanation for transparent recommendation
Mouadh et al. Guesmi · 2021
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Rexplug: Explainable recommendation using plug-and-play language model
Deepesh V aet al. Hada · 2021
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A review of text-based recommendation systems
Safia et al. Kanwal · 2021
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Personalized transformer for explainable recommendation
Lei et al. Li · 2021
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Attribute-aware explainable complementary clothing recommendation
Yang et al. Li · 2021
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You are what and where you are: Graph enhanced attention network for explainable poi recommendation
Zeyu et al. Li · 2021
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Fairness and transparency in recommendation: The users’ perspective
Nasim et al. Sonboli · 2021
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User-centric path reasoning towards explainable recommendation
Chang-You et al. Tai · 2021
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Counterfactual explainable recommendation
Juntao et al. Tan · 2021
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et al. Wu, Le · 2021
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Ex3: Explainable attribute-aware item-set recommendations
Yikun et al. Xian · 2021
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