Predicting User Intents and Satisfaction with Dialogue-based Conversational Recommendations-Reference-Cited by-同舟云学术

Predicting User Intents and Satisfaction with Dialogue-based Conversational Recommendations

Published:2020-07-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization
language:
Short-container-title:

Author:

Cai Wanling¹,Chen Li¹

Affiliation:

1. Hong Kong Baptist University, Hong Kong, China

Funder

Hong Kong Baptist University Interdisciplinary Research Clusters Matching Scheme (IRCMS)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3340631.3394856

Reference51 articles.

1. Sumit Bhatia and Prasenjit Mitra. 2012. Classifying User Messages For Managing Web Forum Data. In WebDB. 13--18. Sumit Bhatia and Prasenjit Mitra. 2012. Classifying User Messages For Managing Web Forum Data. In WebDB. 13--18.

2. A taxonomy of web search

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Modeling User Retention through Generative Flow Networks;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. The Social Stage of Responses: Social Intent Detection in Discussion Threads Using Deep Learning Model;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. Character expression of a conversational robot for adapting to user personality;Advanced Robotics;2023-12-02

4. Understanding and Predicting User Satisfaction with Conversational Recommender Systems;ACM Transactions on Information Systems;2023-11-08

5. CRS-Que : A User-Centric Evaluation Framework for Conversational Recommender Systems;ACM Transactions on Recommender Systems;2023-11-02