A Probabilistic Topic Model for Mashup Tag Recommendation.
Min ShiJianxun LiuDong ZhouMingdong TangFenfang XieTingting ZhangPublished in: ICWS (2016)
Keyphrases
- tag recommendation
- mashup
- probabilistic topic models
- topic models
- web content
- third party
- web applications
- user generated
- information retrieval
- latent dirichlet allocation
- linked data
- web services
- social networking
- recommendation systems
- lightweight
- end users
- rapid development
- latent topics
- topic modeling
- user experience
- model driven
- probabilistic latent semantic analysis
- user interface
- web resources
- text mining
- web browser
- location based services
- data sources
- privacy protection
- databases
- generative model
- low level
- computer vision
- metadata
- website
- search engine
- mobile devices