A Survey of Learning-Based Methods for Cold-Start, Social Recommendation, and Data Sparsity in E-commerce Recommendation Systems.
Sihan YinXudong LuoPublished in: ISKE (2021)
Keyphrases
- recommendation systems
- collaborative filtering
- data sparsity
- social recommendation
- recommendation quality
- cold start
- recommender systems
- user preferences
- recommendation algorithms
- cold start problem
- matrix factorization
- collaborative filtering algorithms
- multi relational
- machine learning
- personalized recommendation
- learning process
- reinforcement learning
- social networks
- user feedback
- transfer learning
- web search
- active learning
- keywords
- learning algorithm