Towards Comprehensive Recommender Systems: Time-Aware Unified Recommendations Based on Listwise Ranking of Implicit Cross-Network Data.
Dilruk PereraRoger ZimmermannPublished in: AAAI (2020)
Keyphrases
- recommender systems
- learning to rank
- collaborative filtering
- ranking algorithm
- ranking functions
- learning to rank algorithms
- query dependent
- ranking svm
- evaluation measures
- matrix factorization
- loss function
- recommendation systems
- user preferences
- cold start problem
- information retrieval
- ranking models
- recommendation quality
- user feedback
- user profiles
- relevance judgments
- pairwise
- personalized recommendation
- implicit feedback
- cold start
- product recommendation
- collaborative filtering algorithms
- data sparsity
- active user
- balancing exploration and exploitation
- recommendation algorithms
- evaluation metrics
- document retrieval
- web search
- query suggestion
- hybrid recommendation
- user ratings
- search queries
- retrieval systems
- web search engines
- supervised learning
- training set
- trust propagation
- collaborative recommender systems
- training data