Cascading Hybrid Bandits: Online Learning to Rank for Relevance and Diversity.
Chang LiHaoyun FengMaarten de RijkePublished in: RecSys (2020)
Keyphrases
- learning to rank
- information retrieval
- balancing exploration and exploitation
- learning to rank algorithms
- relevance judgments
- query dependent
- ranking functions
- ranking models
- loss function
- test collection
- evaluation measures
- learn a ranking function
- ranking list
- ranking svm
- direct optimization
- document retrieval
- collaborative filtering
- evaluation metrics
- user feedback
- ranking algorithm
- retrieval systems
- relevance feedback
- normalized discounted cumulative gain
- semi supervised
- image retrieval
- digital libraries
- reinforcement learning
- information retrieval systems
- supervised learning
- feature selection