An Evidential Clustering for Collaborative Filtering Based on Users' Preferences.
Raoua AbdelkhalekImen BoukhrisZied ElouediPublished in: MDAI (2019)
Keyphrases
- collaborative filtering
- making recommendations
- recommender systems
- user preferences
- data sparsity
- matrix factorization
- user similarity
- clustering algorithm
- recommendation systems
- online dating
- user profiles
- recommendation quality
- user specific
- k means
- demographic information
- product recommendation
- user interests
- clustering method
- active user
- cold start problem
- preference model
- individual preferences
- decision making
- collaborative filtering algorithms
- individual user
- deal with information overload
- user ratings
- recommendation algorithms
- data clustering
- information overload
- personalized recommendation
- web page recommendation
- personal preferences
- information filtering
- content based filtering
- hierarchical clustering
- spectral clustering
- user behavior
- prediction accuracy
- user interaction
- information sources
- current context
- unsupervised learning