Collaborative filtering by sequential extraction of user-item clusters based on structural balancing approach.
Katsuhiro HondaAkira NotsuHidetomo IchihashiPublished in: FUZZ-IEEE (2009)
Keyphrases
- collaborative filtering
- recommender systems
- clustering algorithm
- matrix factorization
- structural information
- hierarchical clustering
- structural analysis
- cluster analysis
- self organizing maps
- personalized recommendation
- recommendation systems
- data sparsity
- data points
- input data
- data clustering
- subspace clustering
- information extraction
- cold start problem
- collaborative filtering algorithms
- cold start
- probabilistic matrix factorization
- neighbor selection
- making recommendations
- pearson correlation coefficient
- user profiles
- graph clustering
- automatic extraction
- neural network
- document clustering
- clustering method
- hierarchical structure
- user preferences