Integrating user-side information into matrix factorization to address data sparsity of collaborative filtering.
Gopal BeheraNeeta NainRavindra Kumar SoniPublished in: Multim. Syst. (2024)
Keyphrases
- collaborative filtering
- matrix factorization
- data sparsity
- recommender systems
- recommendation systems
- cold start problem
- information overload
- recommendation quality
- user preferences
- user interests
- implicit feedback
- user profiles
- item recommendation
- cold start
- negative matrix factorization
- low rank
- collaborative filtering algorithms
- nonnegative matrix factorization
- missing data
- probabilistic matrix factorization
- factorization methods
- tensor factorization
- latent factors
- user ratings
- recommendation algorithms
- user interaction
- information extraction
- user experience
- personalized recommendation
- search engine
- factor analysis
- transfer learning
- prediction accuracy