A Study on Recommendation Ability in Collaborative Filtering by Fuzzy Co-Clustering with Exclusive Item Partition.
Takaya NakanoKatsuhiro HondaSeiki UbukataAkira NotsuPublished in: SCIS&ISIS (2016)
Keyphrases
- collaborative filtering
- recommender systems
- user preferences
- hybrid recommendation
- item recommendation
- matrix factorization
- fuzzy sets
- personalized recommendation
- cold start problem
- making recommendations
- fuzzy logic
- image segmentation
- pearson correlation coefficient
- fuzzy numbers
- item based collaborative filtering
- recommendation algorithms
- neural network
- latent factor models
- recommendation quality
- collaborative filtering recommendation
- user ratings
- online dating
- demographic information
- rating prediction
- data sparsity
- information filtering
- transfer learning
- data mining