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Conversational recommender systems (CRS) aim to recommend high-quality items to users through interactive conversations.
Toward Building Conversational Recommender Systems: A Contextual Bandit Approach
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Collaborative topic modeling for recommending scientific articles. In SIGKDD 2011 . 448–456
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Recommender systems survey
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TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation. In AAAI 2014 . 2–8
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An Information Retrieval Approach to Short Text Conversation
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A Diversity-Promoting Objective Function for Neural Conversation Models. In NAACL-HLT
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Towards Conversational Recommender Systems. In SIGKDD 2016 . 815–824
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Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots. In ACL
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Multi-view Response Selection for Human-Computer Conversation. In EMNLP
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Conversational Recommender System. In SIGIR 2018 . 235–244
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Towards Conversational Search and Recommendation: System Ask, User Respond. In CIKM 2018 . 177–186
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Commonsense Knowledge Aware Conversation Generation with Graph Attention. In IJCAI
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Towards Knowledge-Based Recommender Dialog System
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Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation. In WSDM 2019 . 573–581
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Thomas N. Kipf and Max Welling. 2017 · 2017
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A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues.. In AAAI
Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, Laurent Charlin, Joelle Pineau, Aaron C Courville, and Yoshua Bengio. 2017 · 2017
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ConceptNet 5.5: An Open Multilingual Graph of General Knowledge. In AAAI 2017 . 4444–4451
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Attention is All you Need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks. In SIGIR 2018 . 505–514
Jin Huang, Wayne Xin Zhao, Hong-Jian Dou, Ji-Rong Wen, and Edward Y. Chang. 2018 · 2018
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Towards Deep Conversational Recommendations
Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, and Chris Pal. 2018 · 2018
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Modeling Relational Data with Graph Convolutional Networks
Michael Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling. 2018 · 2018
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Lizi Liao, Ryuichi Takanobu, Yunshan Ma, Xun Yang, Minlie Huang, and Tat-Seng Chua. 2019 · 2019
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Deep Graph Infomax
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Explainable reasoning over knowledge graphs for recommendation. In AAAI . 5329–5336
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QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization
Yi-Ting Yeh and Yun-Nung Chen. 2019 · 2019
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KB4Rec: A Data Set for Linking Knowledge Bases with Recommender Systems
Wayne Xin Zhao, Gaole He, Kunlin Yang, Hong-Jian Dou, Jin Huang, Siqi Ouyang, and Ji-Rong Wen. 2019 · 2019
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Unsupervised Context Rewriting for Open Domain Conversation. In EMNLP-IJCNLP 2019 . 1834–1844
Kun Zhou, Kai Zhang, Yu Wu, Shujie Liu, and Jingsong Yu. 2019 · 2019
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Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems. In WSDM 20 . 304–312
Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan, and Tat-Seng Chua. 2020 · 2020
Closest in time.
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
Fan-Yun Sun, Jordan Hoffmann, Vikas Verma, and Jian Tang. 2020 · 2020
Closest in time.