Conversational Recommender System

Cited by (378)

Items 101–200 of 378

1. Adversarial Auto-encoder Domain Adaptation for Cold-start Recommendation with Positive and Negative Hypergraphs
   Hanrui Wu, Jinyi Long, Nuosi Li, Dahai Yu, Michael K. Ng · 2022 · ACM Transactions on Information Systems
2. TREA: Tree-Structure Reasoning Schema for Conversational Recommendation
   Wendi Li, Wei Wei, Xiaoye Qu, Xian-Ling Mao, Ye Yuan, Wenfeng Xie, Dangyang Chen · 2023 · Proceedings of the conference - Association for Computational Linguistics. Meeting
3. A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation.
   Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang · 2021 · arXiv (Cornell University)
4. Doing Personal LAPS: LLM-Augmented Dialogue Construction for Personalized Multi-Session Conversational Search
   Hideaki Joko, Shubham Chatterjee, Andrew Ramsay, Arjen P. de Vries, Jeff Dalton, Faegheh Hasibi · 2024 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
5. Demonstrating Principled Uncertainty Modeling for Recommender Ecosystems with RecSim NG
   Martin Mladenov, Chih‐Wei Hsu, Vihan Jain, Eugene Ie, Christopher Colby, Nicolas Mayoraz, Hubert Pham, Dustin Tran, Ivan Vendrov, Craig E. Boutilier · 2020 · ACM Conference on Recommender Systems (RecSys)
6. Toward Knowledge-Enriched Conversational Recommendation Systems
   Tong Zhang, Yong Liu, Boyang Li, Peixiang Zhong, Chen Zhang, Hao Wang, Chunyan Miao · 2022 · Workshop on NLP for Conversational AI (NLP4ConvAI)
7. COLA: Improving Conversational Recommender Systems by Collaborative Augmentation
   Dongding Lin, Jian Wang, Wenjie Li · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence
8. Towards Knowledge-Based Recommender Dialog System
   Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang · 2019 · arXiv (Cornell University)
9. Soliciting User Preferences in Conversational Recommender Systems via Usage-related Questions
   Ivica Kostric, Krisztian Balog, Filip Radlinski · 2021 · ACM Conference on Recommender Systems (RecSys)
10. Conversation-Based Adaptive Relational Translation Method for Next POI Recommendation With Uncertain Check-Ins
    Lu Zhang, Zhu Sun, Jie Zhang, Yiwen Wu, Yunwen Xia · 2022 · IEEE Transactions on Neural Networks and Learning Systems
11. Improving conversational recommender systems via multi-preference modelling and knowledge-enhanced
    Chengyang Zhang, Xianying Huang, Jiahao An, Shihao Zou · 2024 · Knowledge-Based Systems
12. Clustering of Conversational Bandits for User Preference Learning and Elicitation
    Junda Wu, Canzhe Zhao, Tong Yu, Jingyang Li, Shuai Li · 2021 · ACM International Conference on Information and Knowledge Management (CIKM)
13. Controlling the Risk of Conversational Search via Reinforcement Learning
    Zhenduo Wang, Qingyao Ai · 2021 · International World Wide Web Conference (WWW)
14. An Agentic AI-based Multi-Agent Framework for Recommender Systems
    Ivens Da Silva Portugal, Paulo Alencar, Donald D. Cowan · 2024 · IEEE International Conference on Big Data (BigData)
15. Key Qualities of Conversational Recommender Systems: From Users’ Perspective
    Yucheng Jin, Li Chen, Wanling Cai, Pearl Pu · 2021 · International Conference on Human-Agent Interaction (HAI)
16. Leveraging Long Short-Term User Preference in Conversational Recommendation via Multi-agent Reinforcement Learning
    Yang Deng, Yaliang Li, Bolin Ding, Wai Pang Lam · 2022 · IEEE Transactions on Knowledge and Data Engineering
17. Towards retrieval-based conversational recommendation
    Ahtsham Manzoor, Dietmar Jannach · 2022 · Information Systems
18. The Effects of System Initiative during Conversational Collaborative Search
    Sandeep Avula, Bogeum Choi, Jaime Arguello · 2022 · Proceedings of the ACM on Human-Computer Interaction
19. Analyzing and Simulating User Utterance Reformulation in Conversational Recommender Systems
    Shuo Zhang, Mu‐Chun Wang, Krisztian Balog · 2022 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
20. Self-Supervised learning for Conversational Recommendation
    Shuokai Li, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Zhenwei Tang, Wayne Xin Zhao, Qing He · 2022 · Information Processing & Management
21. Distributed Multi-agent Target Search and Tracking With Gaussian Process and Reinforcement Learning
    Jigang Kim, Dohyun Jang, H. Jin Kim · 2023 · International Journal of Control Automation and Systems
22. An Empirical Study on Clarifying Question-Based Systems
    Jie Zou, Evangelos Kanoulas, Yiqun Liu · 2020 · ACM International Conference on Information and Knowledge Management (CIKM)
23. Popcorn
    Zuohui Fu, Yikun Xian, Shijie Geng, Gerard de Melo, Yongfeng Zhang · 2021 · ACM International Conference on Information and Knowledge Management (CIKM)
24. Multi-Objective Optimization for Football Team Member Selection
    Haoyu Zhao, Haihui Chen, Shenbao Yu, Bilian Chen · 2021 · IEEE Access
25. Counterfactual Explainable Conversational Recommendation
    Dianer Yu, Qian Li, Xiangmeng Wang, Qing Li, Guandong Xu · 2023 · IEEE Transactions on Knowledge and Data Engineering
26. Topic-Guided Conversational Recommender in Multiple Domains
    Lizi Liao, Ryuichi Takanobu, Yunshan Ma, Xun Yang, Minlie Huang, Tat‐Seng Chua · 2020 · IEEE Transactions on Knowledge and Data Engineering
27. Towards Topic-Guided Conversational Recommender System
    Kun Zhou, Yuanhang Zhou, Wayne Xin Zhao, Xiaoke Wang, Ji-Rong Wen · 2020 · arXiv (Cornell University)
28. Knowledge Graph-Enhanced Sampling for Conversational Recommendation System
    Mengyuan Zhao, Xiaowen Huang, Lixi Zhu, Jitao Sang, Jian Qiao Yu · 2022 · IEEE Transactions on Knowledge and Data Engineering
29. Learning to Ask: Conversational Product Search via Representation Learning
    Jie Zou, Jimmy Xiangji Huang, Zhaochun Ren, Evangelos Kanoulas · 2022 · ACM Transactions on Information Systems
30. Analysing Utterances in LLM-Based User Simulation for Conversational Search
    Ivan Sekulić, Mohammad Aliannejadi, Fábio Crestani · 2024 · ACM Transactions on Intelligent Systems and Technology
31. A Workflow Analysis of Context-driven Conversational Recommendation
    Shengnan Lyu, Arpit Rana, Scott Sanner, Mohamed Reda Bouadjenek · 2021 · International World Wide Web Conference (WWW)
32. Partially Observable Reinforcement Learning for Dialog-based Interactive Recommendation
    Yaxiong Wu, Craig Macdonald, Iadh Ounis · 2021 · ACM Conference on Recommender Systems (RecSys)
33. A Context-Driven Complex Activity Framework for Smart Home
    Nirmalya Thakur, Chia Yung Han · 2018 · IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)
34. Graph-Grounded Goal Planning for Conversational Recommendation
    Zeming Liu, Ding Zhou, Hao Liu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu, Hui Xiong · 2022 · IEEE Transactions on Knowledge and Data Engineering
35. Music Recommendation Systems: Overview and Challenges
    Makarand R. Velankar, Parag A. Kulkarni · 2022 · Signals and communication technology
36. Understanding the Performance of AI Algorithms in Text-Based Emotion Detection for Conversational Agents
    Sheetal Kusal, Shruti Patil, Jyoti Choudrie, Ketan V. Kotecha · 2024 · ACM Transactions on Asian and Low-Resource Language Information Processing
37. Knowledge-Enhanced Conversational Recommendation via Transformer-Based Sequential Modeling
    Jie Zou, Aixin Sun, Cheng Long, Evangelos Kanoulas · 2024 · ACM Transactions on Information Systems
38. Integrating a cognitive assistant within a critique-based recommender system
    Marc Güell, María Salamó, David Contreras Aguilar, Ludovico Boratto · 2020 · Cognitive Systems Research
39. Simulating and Modeling the Risk of Conversational Search
    Zhenduo Wang, Qingyao Ai · 2022 · ACM Transactions on Information Systems
40. An LSTM-based Intent Detector for Conversational Recommender Systems
    Mourad Jbene, Smail Tigani, Rachid Saadane, Abdellah Chehri · 2022 · IEEE Vehicular Technology Conference
41. Conversation and recommendation: knowledge-enhanced personalized dialog system
    Ming He, Jiwen Wang, Tianyu Ding, Tong Shen · 2022 · Knowledge and Information Systems
42. How Reliable is Your Simulator? Analysis on the Limitations of Current LLM-based User Simulators for Conversational Recommendation
    Lixi Zhu, Xiaowen Huang, Jitao Sang · 2024 · International World Wide Web Conference (WWW)
43. Improving Conversational Recommendation System Through Personalized Preference Modeling and Knowledge Graph
    Feng Chung Wu, Guoshuai Zhao, Tengjiao Li, Jialie Shen, Xueming Qian · 2024 · IEEE Transactions on Knowledge and Data Engineering
44. Multimodal Conversational Fashion Recommendation with Positive and Negative Natural-Language Feedback
    Yaxiong Wu, Craig Macdonald, Iadh Ounis · 2022 · ACM Conference on Conversational User Interfaces (CUI)
45. Hierarchical Conversational Preference Elicitation with Bandit Feedback
    Jinhang Zuo, Songwen Hu, Tong Yu, Shuai Li, Handong Zhao, Carlee Joe‐Wong · 2022 · ACM International Conference on Information and Knowledge Management (CIKM)
46. Systematic Literature Review on Implementation of Chatbots for Commerce Use
    Williams Sanjaya, Calvin Calvin, Rafif Muhammad, Meiliana Meiliana, Muhamad Fajar · 2023 · Procedia Computer Science
47. Assessing industry 5.0 readiness—Prototype of a holistic digital index to evaluate sustainability, resilience and human-centered factors
    Anja Brückner, Mandy Wölke, Franziska Hein-Pensel, Edgar Schero, Heiner Winkler, Iren Jabs · 2025 · International Journal of Information Management Data Insights
48. A LLM-based Controllable, Scalable, Human-Involved User Simulator Framework for Conversational Recommender Systems
    Lixi Zhu, Xiaowen Huang, Jitao Sang · 2025 · International World Wide Web Conference (WWW)
49. Towards Hands-Free Visual Dialog Interactive Recommendation
    Tong Yu, Yilin Shen, Hongxia Jin · 2020 · Proceedings of the AAAI Conference on Artificial Intelligence
50. Conversational Music Recommendation based on Bandits
    Chunyi Zhou, Yuanyuan Jin, Xiaoling Wang, Yingjie Zhang · 2020 · IEEE International Conference on Knowledge Graph (ICKG)
51. DTCRSKG: A Deep Travel Conversational Recommender System Incorporating Knowledge Graph
    Hui Fang, Chongcheng Chen, Yunfei Long, Ge Xu, Yongqiang Xiao · 2022 · Mathematics
52. Knowledge Graph-based Conversational Recommender System in Travel
    Jian Wu Lan, Runfeng Shi, Ye Cao, Jiancheng Lv · 2022 · International Joint Conference on Neural Networks (IJCNN)
53. A Target-Driven Planning Approach for Goal-Directed Dialog Systems
    Jian Wang, Dongding Lin, Wenjie Li · 2023 · IEEE Transactions on Neural Networks and Learning Systems
54. The Technological Gap Between Virtual Assistants and Recommendation Systems
    Dimitrios Rafailidis, Yannis Manolopoulos · 2018 · arXiv (Cornell University)
55. User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback
    Yu Xia, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Shuai Li · 2023 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
56. Navigation-by-preference
    Arpit Rana, Derek Bridge · 2020 · ACM International Conference on Intelligent User Interfaces (IUI)
57. Wizard of Oz Interface to Study System Initiative for Conversational Search
    Sandeep Avula, Jaime Arguello · 2020 · Conference on Human Information Interaction and Retrieval
58. Interactive Re-ranking via Object Entropy-Guided Question Answering for Cross-Modal Image Retrieval
    Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama · 2022 · ACM Transactions on Multimedia Computing Communications and Applications
59. Interactive Interior Design Recommendation via Coarse-to-fine Multimodal Reinforcement Learning
    He Zhang, Ying Sun, Weiyu Guo, Yafei Liu, Haonan Lu, X. Sheldon Lin, Hui Xiong · 2023 · ACM International Conference on Multimedia (ACM MM)
60. Bridging the Gap between Conversational Reasoning and Interactive Recommendation.
    Wenchang Ma, Ryuichi Takanobu, Minghao Tu, Minlie Huang · 2020 · arXiv (Cornell University)
61. Initiative transfer in conversational recommender systems
    Yuan Ma, Jürgen Ziegler · 2023 · ACM Conference on Recommender Systems (RecSys)
62. Recommender Systems: A Review
    Patrick M. LeBlanc, David L. Banks, Linhui Fu, Mingyan Li, Zhengyu Tang, Qiuyi Wu · 2023 · Journal of the American Statistical Association
63. HutCRS: Hierarchical User-Interest Tracking for Conversational Recommender System
    Mingjie Qian, Yongsen Zheng, Jinghui Qin, Liang Lin · 2023 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
64. Online Learning and Detecting Corrupted Users for Conversational Recommendation Systems
    Xiang-Xiang Dai, Zhiyong Wang, Jize Xie, Tong Yu, John C. S. Lui · 2024 · IEEE Transactions on Knowledge and Data Engineering
65. Conversational User Interfaces and Agents
    Giovanni Maria Biancofiore, Dario Di Palma, Claudio Pomo, Fedelucio Narducci, Tommaso Di Noia · 2025 · Human-computer interaction series
66. Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational Recommendation
    Guojia An, Jie Zou, Jiwei Wei, Chaoning Zhang, Fuming Sun, Yang Yang · 2025 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
67. A Recommender System for Adaptive Examination Preparation using Pearson Correlation Collaborative Filtering
    A. B. M. Kabir Hossain, Zarin Tasnim, Sumaiya Hoque, Muhammad Arifur Rahman · 2021 · International Journal of Automation Artificial Intelligence and Machine Learning
68. Knowledge-Based Conversational Recommender Systems Enhanced by Dialogue Policy Learning
    Keyu Chen, Shiliang Sun · 2021 · International Joint Conference on Knowledge Graphs (IJCKG)
69. Hybrid time centric recommendation model for e-commerce applications using behavioral traits of user
    B. R. Sreenivasa, C. R. Nirmala · 2022 · Information Technology and Management
70. Multi-grained hypergraph interest modeling for conversational recommendation
    Chenzhan Shang, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Jing Zhang · 2023 · AI Open
71. Conversational recommendation based on end-to-end learning: How far are we?
    Ahtsham Manzoor, Dietmar Jannach · 2021 · Computers in Human Behavior Reports
72. CoSearcher: studying the effectiveness of conversational search refinement and clarification through user simulation
    Alexandre Salle, Shervin Malmasi, Oleg Rokhlenko, Eugene Agichtein · 2022 · Information Retrieval
73. Natural Language Processing for Recommender Systems
    Oren Sar Shalom, Haggai Roitman, Pigi Kouki · 2021 · Springer eBooks
74. KECRS: Towards Knowledge-Enriched Conversational Recommendation System
    Tong Zhang, Yong Liu, Peixiang Zhong, Chen Zhang, Wang, Hao, Chunyan Miao · 2021 · arXiv (Cornell University)
75. Efficient Explorative Key-Term Selection Strategies for Conversational Contextual Bandits
    Zhiyong Wang, Xutong Liu, Shuai Li, John C. S. Lui · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence
76. Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems
    Yaochen Zhu, Chao Wan, Harald Steck, Dawen Liang, Yesu Feng, Nathan Kallus, Jundong Li · 2025 · International World Wide Web Conference (WWW)
77. Are Generative AI Agents Effective Personalized Financial Advisors?
    Takehiro Takayanagi, Kiyoshi Izumi, Javier Sanz-Cruzado, Richard McCreadie, Iadh Ounis · 2025 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
78. Large-scale Interactive Conversational Recommendation System using Actor-Critic Framework
    Ali Montazeralghaem, James Allan, Philip S. Thomas · 2021 · ACM Conference on Recommender Systems (RecSys)
79. Text-Based Interactive Recommendation via Offline Reinforcement Learning
    Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
80. Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions and Prospects
    Xinghua Qu, Hongyang Liu, Zhu Sun, Xiang Yin, Yew-Soon Ong, Lu Lu, Zejun Ma · 2023 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
81. Tell me what you Like: introducing natural language preference elicitation strategies in a virtual assistant for the movie domain
    Cataldo Musto, Alessandro Francesco Maria Martina, Andrea Iovine, Fedelucio Narducci, Marco de Gemmis, Giovanni Maria Semeraro · 2023 · Journal of Intelligent Information Systems
82. Towards a Taxonomy of User Feedback Intents for Conversational Recommendations.
    Wanling Cai, Li Chen · 2019 · ACM Conference on Recommender Systems (RecSys)
83. WSDM 2021 Tutorial on Conversational Recommendation Systems
    Zuohui Fu, Yikun Xian, Yongfeng Zhang, Yi Zhang · 2021 · ACM International Conference on Web Search and Data Mining (WSDM)
84. An empirical evaluation of active learning strategies for profile elicitation in a conversational recommender system
    Andrea Iovine, Pasquale Lops, Fedelucio Narducci, Marco de Gemmis, Giovanni Maria Semeraro · 2021 · Journal of Intelligent Information Systems
85. Meta-CRS: A Dynamic Meta-Learning Approach for Effective Conversational Recommender System
    Yuxin Ni, Yunwen Xia, Hui Fang, Chong Long, Xinyu Kong, Daqian Li, Dong Yang, Jie Zhang · 2023 · ACM Transactions on Information Systems
86. Privacy-preserving recommender system using the data collaboration analysis for distributed datasets
    Tomoya Yanagi, Shunnosuke Ikeda, Noriyoshi Sukegawa, Yuichi Takano · 2025 · PLoS ONE
87. Bridging the Gap: From Ad-hoc to Proactive Search in Conversations
    Chuan Meng, Francesco Tonolini, Fengran Mo, Νικόλαος Αλέτρας, Emine Yılmaz, Gabriella Kazai · 2025 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
88. Conversational recommendation: Theoretical model and complexity analysis
    Tommaso Di Noia, Francesco M. Donini, Dietmar Jannach, Fedelucio Narducci, Claudio Pomo · 2022 · Information Sciences
89. A Systematic Study on Reproducibility of Reinforcement Learning in Recommendation Systems
    Emanuele Cavenaghi, Gabriele Sottocornola, Fabio A. Stella, Markus Zanker · 2023 · ACM Transactions on Recommender Systems
90. Goal-Oriented Multi-Modal Interactive Recommendation with Verbal and Non-Verbal Relevance Feedback
    Yaxiong Wu, Craig Macdonald, Iadh Ounis · 2023 · ACM Conference on Recommender Systems (RecSys)
91. Enhancing conversational recommender systems via multi-level knowledge modeling with semantic relations
    Yulin Wang, Yihao Zhang, Junlin Zhu, Weiwen Liao, Meng Yuan, Wei Guo Zhou · 2023 · Knowledge-Based Systems
92. UaMC: user-augmented conversation recommendation via multi-modal graph learning and context mining
    Siqi Fan, Yequan Wang, Xiaobing Pang, Lisi Chen, Peng Han, Shuo Shang · 2023 · World Wide Web
93. A Formal Concept Analysis Approach to Cooperative Conversational Recommendation
    Pablo Cordero, Manuel Enciso, Ángel Mora, Manuel Ojeda‐Aciego, Carlos Rossi · 2020 · International Journal of Computational Intelligence Systems
94. A hybrid approach to three-way conversational recommendation
    Yuanyuan Xu, Shen-Ming Gu, Huaxiong Li, Fan Min · 2022 · Soft Computing
95. Multi-Modal Dialog State Tracking for Interactive Fashion Recommendation
    Yaxiong Wu, Craig Macdonald, Iadh Ounis · 2022 · ACM Conference on Recommender Systems (RecSys)
96. COOKIE: A Dataset for Conversational Recommendation over Knowledge Graphs in E-commerce
    Zuohui Fu, Yikun Xian, Yaxin Zhu, Yongfeng Zhang, Gerard de Melo · 2020 · arXiv (Cornell University)
97. RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems
    Martin Mladenov, Chih‐Wei Hsu, Vihan Jain, Eugene Ie, Christopher Colby, Nicolas Mayoraz, Hubert Pham, Dustin Tran, Ivan Vendrov, Craig E. Boutilier · 2021 · arXiv (Cornell University)
98. Recommender System Based on Matrix Factorization on Twitter Using Random Forest (Case Study: Movies on Netflix)
    Bagas Teguh Imani, Erwin Budi Setiawan · 2022 · International Journal on Information and Communication Technology (IJoICT)
99. Enhancing Product Representation with Multi-form Interactions for Multimodal Conversational Recommendation
    Wenzhe Du, Su Haoyang, Cam-Tu Nguyen, Jian Sun · 2023 · ACM International Conference on Multimedia (ACM MM)
100. An Empirical Analysis on Multi-turn Conversational Recommender Systems
     Lu Zhang, Chen Li, Yu Lei, Zhu Sun, Guanfeng Liu · 2024 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)