User and item spaces transfer from additional domains for cross-domain recommender systems.
Ashish Kumar SahuPublished in: Appl. Intell. (2023)
Keyphrases
- cross domain
- recommender systems
- user preferences
- collaborative filtering
- transfer learning
- cold start problem
- multiple domains
- knowledge transfer
- item recommendation
- active user
- recommendation algorithms
- domain adaptation
- user ratings
- multi domain
- cold start
- target domain
- user profiles
- sentiment classification
- personalized recommendation
- matrix factorization
- cross domain learning
- user model
- item based collaborative filtering
- recommendation systems
- personal preferences
- implicit feedback
- text categorization
- machine learning
- user similarity
- learning tasks
- software engineering
- support vector machine
- information technology
- collaborative filtering algorithms
- information systems
- neural network