Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness (Extended Abstract).
Harrie OosterhuisPublished in: IJCAI (2022)
Keyphrases
- extended abstract
- computationally efficient
- ranking models
- directly optimize
- learning to rank
- web search
- ranking functions
- ranking algorithm
- information retrieval
- learning to rank algorithms
- benchmark datasets
- loss function
- query dependent
- test collection
- data sets
- supervised learning
- similarity measure
- cost sensitive
- relevance judgments
- feature extraction
- machine learning