PerceptRank: A Real-Time Learning to Rank Recommender System for Online Interactive Platforms.
Hemza FicelMohamed Ramzi HaddadHajer Baazaoui ZghalPublished in: OTM Conferences (2) (2018)
Keyphrases
- learning to rank
- real time
- collaborative filtering
- recommender systems
- balancing exploration and exploitation
- ranking functions
- information retrieval
- loss function
- evaluation measures
- ranking svm
- relevance judgments
- implicit feedback
- user interaction
- document retrieval
- learning to rank algorithms
- reinforcement learning
- direct optimization
- user feedback
- ranking models
- query dependent
- retrieval systems
- evaluation metrics
- user preferences
- ranking list
- directly optimize
- relevance feedback
- exploration exploitation dilemma