Group recommender system based on genre preference focusing on reducing the clustering cost.
Young-Duk SeoYoung-Gab KimEuijong LeeHyungjin KimPublished in: Expert Syst. Appl. (2021)
Keyphrases
- recommender systems
- user preferences
- clustering algorithm
- homogeneous groups
- k means
- collaborative filtering
- clustering method
- information filtering
- similar objects
- graph theoretic
- high cost
- information theoretic
- data clustering
- spectral clustering
- self organizing maps
- categorical data
- hierarchical clustering
- data sets
- data points
- cost sensitive
- user profiles
- anomaly detection
- unsupervised learning
- website