User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback
Author:
Affiliation:
1. Shanghai Jiao Tong University, Shanghai, China
2. New York University, New York, NY, USA
3. Adobe Research, San Jose, CA, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3580305.3599539
Reference44 articles.
1. Charu C Aggarwal et al. 2016. Recommender systems. Vol. 1. Springer.
2. Unbiased Learning to Rank with Unbiased Propensity Estimation
3. Causal embeddings for recommendation
4. Preference based evaluation measures for novelty and diversity
5. Towards Knowledge-Based Recommender Dialog System
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