Scalable Collaborative Filtering Based on Splitting-Merging Clustering Algorithm.
Nabil BelacelGuillaume DurandSerge LégerCajetan BouchardPublished in: ICAART (Revised Selected Papers) (2018)
Keyphrases
- collaborative filtering
- clustering algorithm
- recommender systems
- matrix factorization
- agglomerative clustering
- data sparsity
- highly scalable
- recommendation systems
- deal with information overload
- grouping algorithm
- pairwise
- fuzzy c means
- clustering method
- text clustering
- web scale
- collaborative filtering algorithms
- data sets
- spectral clustering
- user interests
- user preferences
- semi supervised
- product recommendation
- k means
- merging algorithm
- web page recommendation