Wanling Cai

According to our database, Wanling Cai authored at least 20 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

<i>CRS-Que</i>: A User-centric Evaluation Framework for Conversational Recommender Systems.

Yucheng Jin, Li Chen, Wanling Cai, Xianglin Zhao

Trans. Recomm. Syst., March, 2024

The way you assess matters: User interaction design of survey chatbots for mental health.

Yucheng Jin, Li Chen, Xianglin Zhao, Wanling Cai

Int. J. Hum. Comput. Stud., 2024

The Rocky Road to Sustainable Security.

Liliana Pasquale, Kushal Ramkumar, Wanling Cai, John McCarthy, Gavin Doherty, Bashar Nuseibeh

IEEE Secur. Priv., 2024

Exploring the Design of Generative AI in Supporting Music-based Reminiscence for Older Adults.

Yucheng Jin, Wanling Cai, Li Chen, Yizhe Zhang, Gavin Doherty, Tonglin Jiang

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Understanding Disclosure and Support for Youth Mental Health in Social Music Communities.

Yucheng Jin, Wanling Cai, Li Chen, Yuwan Dai, Tonglin Jiang

Proc. ACM Hum. Comput. Interact., April, 2023

Eye-tracking-based personality prediction with recommendation interfaces.

Li Chen, Wanling Cai, Dongning Yan, Shlomo Berkovsky

User Model. User Adapt. Interact., March, 2023

Sustainable Adaptive Security.

Liliana Pasquale, Kushal Ramkumar, Wanling Cai, John McCarthy, Gavin Doherty, Bashar Nuseibeh

CoRR, 2023

Factors Influencing the Perceived Meaningfulness of System Responses in Conversational Recommendation.

Ahtsham Manzoor, Wanling Cai, Dietmar Jannach

Proceedings of the 10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2023) co-located with 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

"Listen to Music, Listen to Yourself": Design of a Conversational Agent to Support Self-Awareness While Listening to Music.

Wanling Cai, Yucheng Jin, Xianglin Zhao, Li Chen

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Task-Oriented User Evaluation on Critiquing-Based Recommendation Chatbots.

Wanling Cai, Yucheng Jin, Li Chen

IEEE Trans. Hum. Mach. Syst., 2022

A Survey on Conversational Recommender Systems.

Dietmar Jannach, Ahtsham Manzoor, Wanling Cai, Li Chen

ACM Comput. Surv., 2022

Impacts of Personal Characteristics on User Trust in Conversational Recommender Systems.

Wanling Cai, Yucheng Jin, Li Chen

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

Critiquing for Music Exploration in Conversational Recommender Systems.

Wanling Cai, Yucheng Jin, Li Chen

Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

Key Qualities of Conversational Recommender Systems: From Users' Perspective.

Yucheng Jin, Li Chen, Wanling Cai, Pearl Pu

Proceedings of the HAI '21: International Conference on Human-Agent Interaction, Virtual Event, Japan, November 9, 2021

2020

Predicting User Intents and Satisfaction with Dialogue-based Conversational Recommendations.

Wanling Cai, Li Chen

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

2019

Transfer to Rank for Heterogeneous One-Class Collaborative Filtering.

Weike Pan, Qiang Yang, Wanling Cai, Yaofeng Chen, Qing Zhang, Xiaogang Peng, Zhong Ming

ACM Trans. Inf. Syst., 2019

Neighborhood-enhanced transfer learning for one-class collaborative filtering.

Wanling Cai, Jiongbin Zheng, Weike Pan, Jing Lin, Lin Li, Li Chen, Xiaogang Peng, Zhong Ming

Neurocomputing, 2019

Towards a Taxonomy of User Feedback Intents for Conversational Recommendations.

Wanling Cai, Li Chen

Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, 2019

MusicBot: Evaluating Critiquing-Based Music Recommenders with Conversational Interaction.

Yucheng Jin, Wanling Cai, Li Chen, Nyi Nyi Htun, Katrien Verbert

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2017

Transfer Learning from APP Domain to News Domain for Dual Cold-Start Recommendation.

Jixiong Liu, Jiakun Shi, Wanling Cai, Bo Liu, Weike Pan, Qiang Yang, Zhong Ming

Proceedings of the 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning co-located with ACM Conference on Recommender Systems (RecSys 2017), 2017