Matrix Factorization-Based Unify Multiple Interactions for Cross-Domain Recommendation Services.
Luong Vuong NguyenTri-Hai NguyenHo-Trong-Nguyen PhamThi-Thu-Hong PhanPublished in: RIVF (2023)
Keyphrases
- matrix factorization
- cross domain
- collaborative filtering
- recommender systems
- transfer learning
- item recommendation
- multiple domains
- data sparsity
- latent factor models
- cross domain learning
- knowledge transfer
- factorization methods
- missing data
- low rank
- factor analysis
- implicit feedback
- text categorization
- nonnegative matrix factorization
- negative matrix factorization
- sentiment classification
- tensor factorization
- natural language processing
- user preferences
- data sets
- learning tasks
- user ratings
- user interests
- latent factors
- linear combination
- active learning
- binary matrix
- pairwise
- information retrieval