Fairness in Ranking, Part II: Learning-to-Rank and Recommender Systems.
Meike ZehlikeKe YangJulia StoyanovichPublished in: ACM Comput. Surv. (2023)
Keyphrases
- learning to rank
- recommender systems
- collaborative filtering
- ranking functions
- ranking svm
- information retrieval
- loss function
- evaluation measures
- learning to rank algorithms
- user feedback
- document retrieval
- user preferences
- query dependent
- web search
- evaluation metrics
- relevance judgments
- ranking models
- ranking algorithm
- implicit feedback
- user profiles
- direct optimization
- recommendation systems
- machine learning
- keywords
- benchmark datasets
- directly optimize