Basic Consideration of Collaborative Filtering Based on Rough C-Means Clustering.
Seiki UbukataShu TakahashiAkira NotsuKatsuhiro HondaPublished in: SCIS/ISIS (2020)
Keyphrases
- collaborative filtering
- recommender systems
- matrix factorization
- rough sets
- data sparsity
- recommendation quality
- user preferences
- personalized recommendation
- recommendation systems
- information filtering
- deal with information overload
- probabilistic matrix factorization
- cold start problem
- user ratings
- level set
- data mining
- databases
- user interests
- transfer learning
- intensity inhomogeneity
- making recommendations
- e learning