An SVM-based collaborative filtering approach for Top-N web services recommendation.
Lifang RenWenjian WangPublished in: Future Gener. Comput. Syst. (2018)
Keyphrases
- collaborative filtering
- web services
- recommender systems
- data sparsity
- recommendation systems
- matrix factorization
- user preferences
- personalized recommendation
- web applications
- support vector machine svm
- recommendation quality
- web service composition
- support vector
- latent factor models
- service architecture
- online dating
- cold start problem
- item recommendation
- collaborative filtering recommendation
- relevance feedback
- semantic web services
- service composition
- loosely coupled
- hybrid recommendation
- implicit feedback
- cold start
- making recommendations
- collaborative filtering algorithms
- item based collaborative filtering
- recommendation algorithms
- formal concepts
- web services composition
- service discovery
- service providers
- support vector machine
- product recommendation
- service oriented
- svm classifier
- web page recommendation
- active learning
- social tagging systems
- feature selection
- transfer learning
- business processes
- pearson correlation coefficient
- collaborative filtering recommendation algorithm