COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation.
Nan WangShaoliang NieQifan WangYi-Chia WangMaziar SanjabiJingzhou LiuHamed FiroozHongning WangPublished in: CoRR (2022)
Keyphrases
- text generation
- personalized recommendation
- natural language generation
- recommender systems
- personalized information
- natural language
- user modeling
- collaborative filtering
- personalized services
- product recommendation
- recommendation systems
- web personalization
- news recommendation
- information filtering
- theorem prover
- personal preferences
- individual user
- user interests
- user profiling
- e learning
- context aware
- user preferences
- user feedback
- causal reasoning
- user specific
- resource allocation
- user profiles
- user oriented
- game theory
- user context
- adaptive learning
- information services
- personalized search
- web users
- knowledge base
- artificial intelligence