A Brief Survey of Offline Explainability Metrics for Conversational Recommender Systems
Author:
Affiliation:
1. Middle Tennessee State University,Dept. of Computer Science,Murfreesboro,Tennessee,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10372541/10372594/10372769.pdf?arnumber=10372769
Reference10 articles.
1. Recommendation Systems: Algorithms, Challenges, Metrics, and Business Opportunities
2. Measuring ‘Why’ in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation;Chen;arXiv,2022
3. Recommender Systems: An Explainable AI Perspective
4. Towards Topic-Guided Conversational Recommender System
5. Towards Explainable Conversational Recommender Systems
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