COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation.
Nan WangQifan WangYi-Chia WangMaziar SanjabiJingzhou LiuHamed FiroozHongning WangShaoliang NiePublished in: EMNLP (2023)
Keyphrases
- text generation
- personalized recommendation
- natural language generation
- personalized information
- user modeling
- recommender systems
- news recommendation
- personalized services
- collaborative filtering
- natural language
- product recommendation
- information filtering
- web personalization
- recommendation systems
- resource allocation
- theorem prover
- individual user
- user interests
- personal preferences
- user profiles
- user preferences
- user model
- adaptive learning
- e learning
- user profiling
- logical framework
- recommendation algorithms
- context aware
- website
- user specific
- information overload
- information services
- web users
- game theory
- latent factor models
- artificial intelligence