Combining Collaborative Filtering and Clustering for Implicit Recommender System.
Simon Renaud-DeputterTengke XiongShengrui WangPublished in: AINA (2013)
Keyphrases
- collaborative filtering
- recommender systems
- matrix factorization
- clustering method
- recommendation quality
- clustering algorithm
- k means
- user preferences
- information filtering
- data sparsity
- cold start problem
- user profiles
- graph theoretic
- information theoretic
- product recommendation
- data points
- probabilistic matrix factorization
- cold start
- personalized recommendation
- text clustering
- online dating
- neural network
- self organizing maps
- user interests
- collaborative filtering algorithms
- content based filtering
- implicit feedback
- spectral clustering
- data mining
- pearson correlation coefficient
- information retrieval
- unsupervised learning
- anomaly detection
- cluster analysis
- hierarchical clustering
- recommendation algorithms
- user model
- fuzzy clustering
- combining multiple
- categorical data
- user feedback