An Empirical Study on Effect of Semantic Measures in Cross-Domain Recommender System in User Cold-Start Scenario.
Yuhan WangQing XieLin LiYongjian LiuPublished in: KSEM (2021)
Keyphrases
- cold start
- recommender systems
- cross domain
- cold start problem
- collaborative filtering
- transfer learning
- user preferences
- data sparsity
- matrix factorization
- user ratings
- implicit feedback
- text categorization
- recommendation quality
- information overload
- user model
- tag recommendation
- user profiles
- personalized recommendation
- knowledge transfer
- user interests
- recommendation algorithms
- user feedback
- recommendation systems
- sentiment classification
- data sparseness
- learning algorithm