Deep learning framework for multi‐round service bundle recommendation in iterative mashup development
Author:
Affiliation:
1. School of Computer Science Wuhan University Wuhan China
2. School of Computer Science Central China Normal University Wuhan China
3. School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast Belfast UK
Funder
National Natural Science Foundation of China
National Key Research and Development Program of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Information Systems
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/cit2.12135
Reference51 articles.
1. Mining Domain Knowledge on Service Goals from Textual Service Descriptions
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3. A semantic enhanced hybrid recommendation approach: A case study of e-Government tourism service recommendation system
4. TA-BLSTM: Tag Attention-based Bidirectional Long Short-Term Memory for Service Recommendation in Mashup Creation
5. Recommending Services for New Mashups through Service Factors and Top-K Neighbors
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