Impact of clustering on quality of recommendation in cluster-based collaborative filtering: an empirical study.
Monika SinghMonica MehrotraPublished in: Int. J. Bus. Intell. Data Min. (2020)
Keyphrases
- collaborative filtering
- recommender systems
- recommendation quality
- matrix factorization
- high quality
- data sparsity
- recommendation systems
- k means
- clustering method
- user preferences
- clustering algorithm
- personalized recommendation
- online dating
- cold start problem
- latent factor models
- cold start
- information filtering
- item recommendation
- user ratings
- implicit feedback
- recommendation algorithms
- rating matrix
- categorical data
- data quality
- spectral clustering
- information theoretic
- collaborative filtering recommendation
- making recommendations
- quality measures
- data clustering
- cluster analysis
- product recommendation
- item based collaborative filtering
- rating prediction
- web page recommendation
- clustering quality
- collaborative filtering algorithms
- collaborative recommendation
- content based filtering
- data mining
- document clustering
- unsupervised learning
- bayesian networks
- social networks