Towards the Use of Clustering Algorithms in Recommender Systems.
Leandro MirandaJosé ViterboFlávia BernardiniPublished in: AMCIS (2020)
Keyphrases
- recommender systems
- clustering algorithm
- collaborative filtering
- k means
- data clustering
- user preferences
- fuzzy c means
- unsupervised clustering
- document clustering
- user modeling
- density based clustering
- cluster analysis
- information overload
- clustering method
- cold start problem
- information filtering
- user profiles
- matrix factorization
- incremental clustering
- data sparsity
- trust aware
- content based filtering
- overlapping clusters
- collaborative filtering recommender systems
- evolutionary clustering
- cold start
- user profiling
- graph partitioning
- collaborative filtering algorithms
- image segmentation
- item based collaborative filtering
- web search
- overlapping clustering
- prediction accuracy
- rating prediction
- recommendation quality
- microarray
- implicit feedback
- user interests
- recommendation systems
- subspace clustering
- clustering analysis
- clustering framework
- recommendation algorithms
- graph clustering