Enhancing cross-market recommendations by addressing negative transfer and leveraging item co-occurrences.
Zheng HuSatoshi NakagawaShi-Min CaiFuji RenJiawen DengPublished in: Inf. Syst. (2024)
Keyphrases
- co occurrence
- making recommendations
- user preferences
- personalized recommendation
- cold start problem
- recommender systems
- cold start
- named entities
- user ratings
- item recommendation
- wordnet
- transfer learning
- semantic relations
- personalized recommender systems
- latent factor models
- recommendation algorithms
- latent semantic analysis
- hybrid recommendation
- word sense
- semantic similarity
- query terms
- user profiles
- text categorization
- active user
- collaborative filtering
- information extraction
- pairwise
- similarity measure