A Scalable Clustering Algorithm for Serendipity in Recommender Systems.
Anup Anand DeshmukhPratheeksha NairShrisha RaoPublished in: ICDM Workshops (2018)
Keyphrases
- recommender systems
- clustering algorithm
- collaborative filtering
- recommendation systems
- k means
- user modeling
- information filtering
- user profiling
- clustering method
- user profiles
- highly scalable
- cold start problem
- product recommendation
- fuzzy c means
- neural network
- hierarchical clustering
- information overload
- data sparsity
- user model
- fuzzy clustering
- user ratings
- clustering ensemble
- overlapping clusters