OmniMatch: Overcoming the Cold-Start Problem in Cross-Domain Recommendations using Auxiliary Reviews.
Yingjun DaiAhmed El-RobyElmira AdeebVivek ThakerPublished in: EDBT (2025)
Keyphrases
- cross domain
- cold start problem
- recommender systems
- transfer learning
- data sparsity
- cold start
- collaborative filtering
- matrix factorization
- knowledge transfer
- personalized recommendation
- text categorization
- sentiment classification
- target domain
- learning tasks
- product reviews
- implicit feedback
- image content
- user ratings
- tag recommendation
- missing data
- search engine