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Using personalized explanations to support recommendations has been shown to increase trust and perceived quality.
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Hidden factors and hidden topics: understanding rating dimensions with review text
Julian McAuley and Jure Leskovec · 2013
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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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Personalizing product rankings using collaborative filtering on opinion-derived topic profiles
Claudiu Cristian Musat and Boi Faltings · 2015
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Explaining recommendations: Design and evaluation
Nava Tintarev and Judith Masthoff · 2015
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Transnets: Learning to transform for recommendation
Rose Catherine and William Cohen · 2017
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Learning to generate product reviews from attributes
Li Dong, Shaohan Huang, Furu Wei, Mirella Lapata, Ming Zhou, and Ke Xu · 2017
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Dataset construction via attention for aspect term extraction with distant supervision
Athanasios Giannakopoulos, Diego Antognini, Claudiu Musat, Andreea Hossmann, and Michael Baeriswyl · 2017
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Neural collaborative filtering
Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, and Tat-Seng Chua · 2017
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Neural rating regression with abstractive tips generation for recommendation
Piji Li, Zihao Wang, Zhaochun Ren, Lidong Bing, and Wai Lam · 2017
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Neural attentional rating regression with review-level explanations
Chong Chen, Min Zhang, Yiqun Liu, and Shaoping Ma · 2018
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever · 2019
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Controllable unsupervised text attribute transfer via editing entangled latent representation
Ke Wang, Hang Hua, and Xiaojun Wan · 2019
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Deep language-based critiquing for recommender systems
Ga Wu, Kai Luo, Scott Sanner, and Harold Soh · 2019
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Plan-and-write: Towards better automatic storytelling
Lili Yao, Nanyun Peng, Ralph Weischedel, Kevin Knight, Dongyan Zhao, and Rui Yan · 2019
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Hotelrec: a novel very large-scale hotel recommendation dataset
Diego Antognini and Boi Faltings · 2020
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Towards explainable conversational recommendation
Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni, Xiang Ao, and Enhong Chen · 2020
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Trust-related effects of expertise and similarity cues in human-generated recommendations
Johannes Kunkel, Tim Donkers, Catalin-Mihai Barbu, and Jürgen Ziegler · 2018
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Personalized review generation by expanding phrases and attending on aspect-aware representations
Jianmo Ni and Julian McAuley · 2018
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Exploring explanation effects on consumers’ trust in online recommender agents
Jingjing Zhang and Shawn P Curley · 2018
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Categorical-attributes-based item classification for recommender systems
Qian Zhao, Jilin Chen, Minmin Chen, Sagar Jain, Alex Beutel, Francois Belletti, and Ed H Chi · 2018
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Co-attentive multi-task learning for explainable recommendation
Zhongxia Chen, Xiting Wang, Xing Xie, Tong Wu, Guoqing Bu, Yining Wang, and Enhong Chen · 2019
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Let me explain: Impact of personal and impersonal explanations on trust in recommender systems
Johannes Kunkel, Tim Donkers, Lisa Michael, Catalin-Mihai Barbu, and Jürgen Ziegler · 2019
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The curious case of neural text degeneration
Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, and Yejin Choi · 2020
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Latent linear critiquing for conversational recommender systems
Kai Luo, Scott Sanner, Ga Wu, Hanze Li, and Hojin Yang · 2020
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Uncertainty-aware self-training for text classification with few labels
Subhabrata Mukherjee and Ahmed Hassan Awadallah · 2020
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A self-training method for machine reading comprehension with soft evidence extraction
Yilin Niu, Fangkai Jiao, Mantong Zhou, Ting Yao, Jingfang Xu, and Minlie Huang · 2020
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Dual learning for explainable recommendation: Towards unifying user preference prediction and review generation
Peijie Sun, Le Wu, Kun Zhang, Yanjie Fu, Richang Hong, and Meng Wang · 2020
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Bertscore: Evaluating text generation with bert
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Rationalization through concepts
Diego Antognini and Boi Faltings · 2021
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Multi-dimensional explanation of target variables from documents
Diego Antognini, Claudiu Musat, and Boi Faltings · 2021
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Multi-step critiquing user interface for recommender systems
Petrescu, D. A., Antognini, D., and Faltings, B. (2021) · 2021
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