Name
Title | ||
|---|---|---|
Functional and Contextual Attention-based LSTM for Service Recommendation in Mashup Creation |
Abstract | ||
|---|---|---|
Service recommendation is a fundamental task in many application environments (e.g., Mashup creation and cloud computing). In the past, various methods have been proposed to facilitate the service selection process based on the original functional descriptions. However, the mined features from the descriptions are usually too sparse for training a well-performed model. In addition, most methods ne... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TPDS.2018.2877363 | IEEE Transactions on Parallel and Distributed Systems |
Keywords | Field | DocType |
Mashups,Quality of service,Feature extraction,Vocabulary,Bicycles,Semantics | Semantic similarity,Mashup,Information retrieval,Computer science,Quality of service,Topic model,Sentence,Vocabulary,Semantics,Distributed computing,Cloud computing | Journal |
Volume | Issue | ISSN |
30 | 5 | 1045-9219 |
Citations | PageRank | References |
4 | 0.42 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Min Shi | 1 | 19 | 8.50 |
| Yufei Tang | 2 | 203 | 22.83 |
| Jianxun Liu | 3 | 640 | 67.12 |