On improving the reliability of recommender systems with users clustering.
Eugene Yu. ShchetininPublished in: ITTMM (Selected Papers) (2019)
Keyphrases
- recommender systems
- collaborative filtering
- information overload
- user profiles
- user modeling
- tag information
- clustering algorithm
- implicit feedback
- recommendation quality
- information filtering
- cold start problem
- online dating
- active user
- recommendation systems
- trust aware
- product recommendation
- matrix factorization
- user profiling
- recommendation algorithms
- k means
- user interests
- user model
- hierarchical clustering
- self organizing maps
- personal preferences
- item based collaborative filtering
- collaborative recommender systems
- collaborative filtering recommender systems
- data sparsity
- user generated content
- data points
- cluster analysis
- web search
- user ratings
- user context
- collaborative recommendation
- document clustering
- web mining
- web pages
- user preferences
- clustering method
- unsupervised learning