An Operation-Level Collaborative Filtering Approach Based on Logistic Function for Web Services Recommendation.
Rong HuJianxun LiuPublished in: SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2018)
Keyphrases
- collaborative filtering
- web services
- recommender systems
- data sparsity
- recommendation systems
- user preferences
- matrix factorization
- latent factor models
- cold start problem
- higher level
- personalized recommendation
- online dating
- web page recommendation
- service oriented
- collaborative filtering recommendation
- product recommendation
- collaborative filtering algorithms
- item recommendation
- information filtering
- service architecture
- probabilistic matrix factorization
- logistic regression
- making recommendations
- deal with information overload
- neural network
- item based collaborative filtering
- pearson correlation coefficient
- implicit feedback
- semantic web services
- service composition
- transfer learning
- service providers