Improving Service Recommendation by Alleviating the Sparsity with a Novel Ontology-Based Clustering.
Rupasingha A. H. M. RupasinghaIncheon PaikPublished in: ICWS (2018)
Keyphrases
- clustering algorithm
- clustering method
- k means
- service providers
- collaborative filtering
- recommender systems
- service oriented
- hierarchical clustering
- data clustering
- information theoretic
- similarity calculation
- tensor factorization
- service discovery
- service composition
- document clustering
- web services
- data sets
- sparse representation
- high dimensional data
- unsupervised learning
- fuzzy clustering
- information services
- data points
- semantic web technologies
- recommendation systems
- mashup
- data sparsity
- information systems
- data mining