Integrated Content and Network-Based Service Clustering and Web APIs Recommendation for Mashup Development
@article{Cao2020IntegratedCA, title={Integrated Content and Network-Based Service Clustering and Web APIs Recommendation for Mashup Development}, author={Buqing Cao and X. Liu and M. Rahman and Bing Li and J. Liu and Mingdong Tang}, journal={IEEE Transactions on Services Computing}, year={2020}, volume={13}, pages={99-113} }
The rapid growth in the number and diversity of Web APIs, coupled with the myriad of functionally similar Web APIs, makes it difficult to find most suitable Web APIs for users to accelerate and accomplish Mashup development. Even if the existing methods show improvements in Web APIs recommendation, it is still challenging to recommend Web APIs with high accuracy and good diversity. In this paper, we propose an integrated content and network-based service clustering and Web APIs recommendation… CONTINUE READING
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References
SHOWING 1-10 OF 38 REFERENCES
Effective Mashup Service Clustering Method by Exploiting LDA Topic Model from Multiple Data Sources
- Computer Science
- APSCC
- 2015
- 4
Mashup Service Recommendation Based on User Interest and Social Network
- Computer Science
- 2013 IEEE 20th International Conference on Web Services
- 2013
- 73
Mashup Service Clustering Based on an Integration of Service Content and Network via Exploiting a Two-Level Topic Model
- Computer Science
- 2016 IEEE International Conference on Web Services (ICWS)
- 2016
- 25
Category-Aware API Clustering and Distributed Recommendation for Automatic Mashup Creation
- Computer Science
- IEEE Transactions on Services Computing
- 2015
- 63
- Highly Influential
Unified Collaborative and Content-Based Web Service Recommendation
- Computer Science
- IEEE Transactions on Services Computing
- 2015
- 122
- PDF
A Novel Approach for API Recommendation in Mashup Development
- Computer Science
- 2014 IEEE International Conference on Web Services
- 2014
- 49
Collaborative Web Service QoS Prediction via Neighborhood Integrated Matrix Factorization
- Computer Science
- IEEE Transactions on Services Computing
- 2013
- 316
- PDF
A collaborative framework of web service recommendation with clustering-extended matrix factorisation
- Computer Science
- Int. J. Web Grid Serv.
- 2016
- 6
- PDF
Time-Aware Service Recommendation for Mashup Creation in an Evolving Service Ecosystem
- Computer Science
- 2014 IEEE International Conference on Web Services
- 2014
- 38
- PDF
Diversifying Web Service Recommendation Results via Exploring Service Usage History
- Computer Science
- IEEE Transactions on Services Computing
- 2016
- 39
- PDF