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Conversational recommender systems (CRSs) have revolutionized the conventional recommendation paradigm by embracing dialogue agents to dynamically capture the fine-grained user preference.
BPR: Bayesian Personalized Ranking from Implicit Feedback
Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2009 · 2009
Earlier work this paper cites.
TAGME: On-the-Fly Annotation of Short Text Fragments (by Wikipedia Entities) (CIKM ’10) . 1625–1628
Paolo Ferragina and Ugo Scaiella. 2010 · 2010
Earlier work this paper cites.
Translating Embeddings for Modeling Multi-relational Data. In NIPS , Vol. 26. 2787–2795
Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. 2013 · 2013
Earlier work this paper cites.
Knowledge Graph Embedding by Translating on Hyperplanes (AAAI’14) . 1112–1119
Zhen Wang, Jianwen Zhang, Jianlin Feng, and Zheng Chen. 2014 · 2014
Earlier work this paper cites.
Knowledge Graph Embedding via Dynamic Mapping Matrix. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing . 687–696
Guoliang Ji, Shizhu He, Liheng Xu, Kang Liu, and Jun Zhao. 2015 · 2015
Earlier work this paper cites.
Learning Entity and Relation Embeddings for Knowledge Graph Completion (AAAI’15) . 2181–2187
Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, and Xuan Zhu. 2015 · 2015
Earlier work this paper cites.
Towards Conversational Recommender Systems (KDD ’16) . 815–824
Konstantina Christakopoulou, Filip Radlinski, and Katja Hofmann. 2016 · 2016
Earlier work this paper cites.
Spatio-temporal recommendation in social media
Hongzhi Yin and Bin Cui. 2016 · 2016
Earlier work this paper cites.
Collaborative Knowledge Base Embedding for Recommender Systems (KDD ’16) . 353–362
Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie, and Wei-Ying Ma. 2016 · 2016
Earlier work this paper cites.
Leveraging Meta-Path Based Context for Top- N Recommendation with A Neural Co-Attention Model (KDD ’18) . 1531–1540
Binbin Hu, Chuan Shi, Wayne Xin Zhao, and Philip S. Yu. 2018 · 2018
Earlier work this paper cites.
Towards Deep Conversational Recommendations (NIPS ’18) . 9725–9735
Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, and Chris Pal. 2018 · 2018
Earlier work this paper cites.
Conversational Recommender System. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR ’18) . 235–244
Yueming Sun and Yi Zhang. 2018 · 2018
Cited alongside, same era.
Recurrent Knowledge Graph Embedding for Effective Recommendation (RecSys ’18) . 297–305
Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Long-Kai Huang, and Chi Xu. 2018 · 2018
Cited alongside, same era.
RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems (CIKM ’18) . 417–426
Hongwei Wang, Fuzheng Zhang, Jialin Wang, Miao Zhao, Wenjie Li, Xing Xie, and Minyi Guo. 2018 · 2018
Cited alongside, same era.
Towards Conversational Search and Recommendation: System Ask, User Respond (CIKM ’18) . 177–186
Yongfeng Zhang, Xu Chen, Qingyao Ai, Liu Yang, and W. Bruce Croft. 2018 · 2018
Cited alongside, same era.
Conversational Product Search Based on Negative Feedback. In CIKM’19 . 359–368
Keping Bi, Qingyao Ai, Yongfeng Zhang, and W. Bruce Croft. 2019 · 2019
Relational Collaborative Filtering: Modeling Multiple Item Relations for Recommendation (SIGIR’19) . 125–134
Xin Xin, Xiangnan He, Yongfeng Zhang, Yongdong Zhang, and Joemon Jose. 2019 · 2019
Later among the works it cites.
Try This Instead: Personalized and Interpretable Substitute Recommendation (SIGIR ’20) . 891–900
Tong Chen, Hongzhi Yin, Guanhua Ye, Zi Huang, Yang Wang, and Meng Wang. 2020 · 2020
Later among the works it cites.
Interactive Path Reasoning on Graph for Conversational Recommendation. In KDD’2020
Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen, and Tat-Seng Chua. 2020b · 2020
Later among the works it cites.
Towards Conversational Recommendation over Multi-Type Dialogs. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . 1036–1049
Zeming Liu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, and Ting Liu. 2020 · 2020
Later among the works it cites.
Explanations within Conversational Recommendation Systems: Improving Coverage through Knowledge Graph Embeddings. In AAAI’2020
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Cited alongside, same era.
Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences. In WWW . 151–161
Yixin Cao, Xiang Wang, Xiangnan He, Zikun Hu, and Tat-Seng Chua. 2019 · 2019
Cited alongside, same era.
Scalable deep hashing for large-scale social image retrieval
Hui Cui, Lei Zhu, Jingjing Li, Yang Yang, and Liqiang Nie. 2019 · 2019
Cited alongside, same era.
Online Multi-modal Hashing with Dynamic Query-adaption. In SIGIR . 715–724
Xu Lu, Lei Zhu, Zhiyong Cheng, Liqiang Nie, and Huaxiang Zhang. 2019 · 2019
Cited alongside, same era.
AKUPM: Attention-Enhanced Knowledge-Aware User Preference Model for Recommendation (KDD ’19) . 1891–1899
Xiaoli Tang, Tengyun Wang, Haizhi Yang, and Hengjie Song. 2019 · 2019
Cited alongside, same era.
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation (SIGIR’19) . 285–294
Yikun Xian, Zuohui Fu, S. Muthukrishnan, Gerard de Melo, and Yongfeng Zhang. 2019 · 2019
Cited alongside, same era.
Towards Knowledge-Based Recommender Dialog System. In EMNLP-IJCNLP . 1803–1813
Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, and Jie Tang. 2019a
Cited in the paper.
AIR: Attentional Intention-Aware Recommender Systems. In ICDE . 304–315
Tong Chen, Hongzhi Yin, Hongxu Chen, Rui Yan, Quoc Viet Hung Nguyen, and Xue Li. 2019b
Cited in the paper.
Gustavo Padilha Polleti, Hugo Neri Munhoz, and Fabio Gagliardi Cozman. 2020 · 2020
Later among the works it cites.
CRSAL: Conversational Recommender Systems with Adversarial Learning
Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Nguyen Quoc Viet Hung, Zi Huang, and Xiangliang Zhang. 2020 · 2020
Later among the works it cites.
CKAN: Collaborative Knowledge-Aware Attentive Network for Recommender Systems (SIGIR ’20) . 219–228
Ze Wang, Guangyan Lin, Huobin Tan, Qinghong Chen, and Xiyang Liu. 2020 · 2020
Later among the works it cites.
Improving Conversational Recommender Systems via Knowledge Graph Based Semantic Fusion (KDD) . 1006–1014
Kun Zhou, Wayne Xin Zhao, Shuqing Bian, Yuanhang Zhou, Ji-Rong Wen, and Jingsong Yu. 2020 · 2020
Later among the works it cites.
Towards Question-Based Recommender Systems (SIGIR ’20) . 881–890
Jie Zou, Yifan Chen, and Evangelos Kanoulas. 2020 · 2020
Later among the works it cites.
Adapting to Context-Aware Knowledge in Natural Conversation for Multi-Turn Response Selection (WWW)
Chen Zhang, Hao Wang, Feijun Jian, and Hongzhi Yin. 2021 · 2021
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