Mashup Recommendation by Regularizing Matrix Factorization with API Co-Invocations.
Lina YaoXianzhi WangQuan Z. ShengBoualem BenatallahChaoran HuangPublished in: IEEE Trans. Serv. Comput. (2021)
Keyphrases
- mashup
- matrix factorization
- collaborative filtering
- recommender systems
- third party
- item recommendation
- web applications
- data sparsity
- google maps
- web content
- social networking
- web services
- web resources
- linked data
- low rank
- rapid development
- lightweight
- user interface
- latent factor models
- negative matrix factorization
- model driven
- factorization methods
- end users
- missing data
- nonnegative matrix factorization
- web browser
- data sources
- recommendation systems
- implicit feedback
- website
- tensor factorization
- cold start
- privacy protection
- factor analysis
- web pages
- user profiles
- social media
- binary matrix
- location based services
- latent factors
- data integration
- road network