SeCo-LDA: Mining Service Co-Occurrence Topics for Composition Recommendation.
Zhenfeng GaoYushun FanCheng WuWei TanJia ZhangYayu NiBing BaiShuhui ChenPublished in: IEEE Trans. Serv. Comput. (2019)
Keyphrases
- co occurrence
- topic models
- latent dirichlet allocation
- topic modeling
- latent semantic analysis
- text mining
- latent topics
- wordnet
- text documents
- semantic similarity
- search computing
- probabilistic latent semantic analysis
- named entities
- recommender systems
- collaborative filtering
- visual words
- web services
- query terms
- multi domain
- mashup
- service composition
- data mining
- semantic relations
- text classification
- semi supervised
- knowledge discovery
- image retrieval
- semantic space
- keywords
- word co occurrence
- lexico syntactic