Do-Rank: DCG Optimization for Learning-to-Rank in Tag-Based Item Recommendation Systems.
Noor IfadaRichi NayakPublished in: PAKDD (2) (2015)
Keyphrases
- learning to rank
- recommendation systems
- collaborative filtering
- collaborative filtering recommendation algorithm
- recommender systems
- user preferences
- direct optimization
- user feedback
- personalized recommendation
- directly optimize
- tag recommendation
- ranking list
- ranking models
- recommendation algorithms
- ranking functions
- information retrieval
- user ratings
- evaluation measures
- web search
- loss function
- user similarity
- active user
- ranking svm
- matrix factorization
- normalized discounted cumulative gain
- user profiles
- average precision
- learning to rank algorithms
- evaluation metrics
- optimization problems
- document retrieval
- relevance judgments
- search engine
- user behavior
- data sparsity
- cold start
- test collection
- retrieval systems
- information retrieval systems
- optimization method
- ranked list
- probabilistic model
- retrieval effectiveness
- precision and recall