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


         

Welcome

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 human-computer interaction and natural language processing.

Research Interests

Education

Publications

  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, April 14–17, 2021.
    [Paper] [Slides] [Video]
  2. Jannach, Dietmar, Ahtsham Manzoor, Wanling Cai, and Li Chen. A Survey on Conversational Recommender Systems. ACM Computing Surveys, Volume 54, Issue 5, Article No. 105, pages 1-36, 2021.
    [Paper]
  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.
    [Paper]
  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.
    [Paper]
  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

Awards

Contact

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