A Cross-Domain Recommendation Mechanism for Cold-Start Users Based on Partial Least Squares Regression.
Cheng-Te LiChia-Tai HsuMan-Kwan ShanPublished in: ACM Trans. Intell. Syst. Technol. (2018)
Keyphrases
- cold start
- cross domain
- recommender systems
- cold start problem
- collaborative filtering
- data sparsity
- transfer learning
- partial least squares regression
- tag recommendation
- implicit feedback
- user ratings
- recommendation algorithms
- user preferences
- personalized recommendation
- sentiment classification
- matrix factorization
- knowledge transfer
- recommendation systems
- machine learning
- data sparseness
- reinforcement learning
- text categorization
- eye tracking
- user experience
- user model
- information overload
- user feedback
- user interests
- user profiles
- labeled data
- k nearest neighbor
- text classification
- training set
- web pages