Wanling CAI   
Wanling CAI (蔡婉铃)
Ph.D. Candidate



Hi! I'm Wanling CAI. I am a Ph.D. Candidate at the Department of Computer Science, Hong Kong Baptist University (HKBU), under the supervision of . Prior to that, I received my B.Eng degree in Software Engineering from the College of Computer Science and Software Engineering, Shenzhen University (SZU), China, in 2018. During my undergraduate study, I undertook research on intelligent recommender systems, under the supervision of .

I am currently working on dialogue-based conversational recommender systems. I am particularly interested in optimizing the design of conversational recommender systems via studies of natural language processing and human-computer interaction.

Research Interests



  1. Wanling Cai, Yucheng Jin, and Li Chen. Critiquing for Music Exploration in Conversational Recommender Systems. In: Proceedings of 26th International Conference on Intelligent User Interfaces (IUI' 21), College Station, TX, USA (Online), April 14–17, 2021. (to appear)
  2. Jannach, Dietmar, Ahtsham Manzoor, Wanling Cai, and Li Chen. A Survey on Conversational Recommender Systems. ACM Computing Surveys, 35 pages, 2021. (to appear)
  3. Wanling Cai and Li Chen. Predicting User Intents and Satisfaction with Dialogue-based Conversational Recommendations. In: Proceedings of 28th ACM Conference on User Modeling, Adaptation and Personalization (UMAP' 20), Genoa, Italy, July 14-17, 2020. [Best Student Paper Award]
    [Paper] [Slides] [Video] [Dataset]
  4. Yucheng Jin, Wanling Cai, Li Chen, Nyi Nyi Htun, and Katrien Verbert. MusicBot: Evaluating Critiquing-based Music Recommenders with Conversational Interaction. In: Proceedings of 28th ACM International Conference on Information and Knowledge Management (CIKM' 19), Beijing, China, November 3-7, 2019.
    [Paper] [Slides] [Poster]
  5. Wanling Cai and Li Chen. Towards a Taxonomy of User Feedback Intents for Conversational Recommendations. In: Proceedings of 13th ACM Conference on Recommender Systems (RecSys' 19), Late-Breaking Results, Copenhagen, Denmark, September 16-20, 2019.
    [Paper] [Poster]
  6. Wanling Cai, Jiongbin Zheng, Weike Pan, Jing Lin, Lin Li, Li Chen, Xiaogang Peng, and Zhong Ming. Neighborhood-Enhanced Transfer Learning for One-Class Collaborative Filtering. Neurocomputing (0925-2312), vol. 341, pages 80-87, 2019.
  7. Weike Pan, Qiang Yang, Wanling Cai, Yaofeng Chen, Qing Zhang, Xiaogang Peng and Zhong Ming. Transfer to Rank for Heterogeneous One-Class Collaborative Filtering. ACM Transactions on Information Systems (TOIS) (1046-8188), 37(1):10:1-10:20, January 2019.
  8. Jixiong Liu, Jiakun Shi, Wanling Cai, Bo Liu, Weike Pan, Qiang Yang and Zhong Ming. Transfer Learning from APP Domain to News Domain for Dual Cold-Start Recommendation. In: Proceedings of the 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning (RecSysKTL 2017) co-located with the 11th ACM Conference on Recommender Systems (RecSys' 17), Como, Italy, August 27-31, 2017.
    [Short Paper] [Video]

Professional Services

Reviewer Talks/Conference Presentations Book Review

Teaching Assistant



Address: DLB625, 6/F, David C. Lam Building, Shaw Campus, Hong Kong Baptist University, Kowloon Tong, Hong Kong, P.R. China
Email: cswlcai@comp.hkbu.edu.hk