Improving Dynamic Recommender System Based on Item Clustering for Preference Drifts.
Charinya WangwatcharakulSartra WongthanavasuPublished in: JCSSE (2018)
Keyphrases
- user preferences
- recommender systems
- clustering algorithm
- personal preferences
- collaborative filtering
- dynamic environments
- data points
- hierarchical clustering
- website
- cold start problem
- cluster analysis
- information theoretic
- user behavior
- self organizing maps
- user profiles
- clustering method
- k means
- social networks
- outlier detection
- recommendation systems
- multi criteria
- personalized recommendation
- qualitative preferences