Name
Abstract | ||
|---|---|---|
The usage of the service selection approaches across different dynamic service provisioning environments has increased the challenges associated with an effective method that can be used to select a relevant service. The use of service selection approach should depend on certain factors. In order to address this challenge, the literature analysis is conducted on various service selection approaches. A proposed approach needs to be tested by manipulating the relevant services description of available services. This paper, proposes various aspects that needs to be considered when choosing a method of service selection. The aspects were used in a scenario to select the effective method and later the method was evaluated based on response time, recall and precision metrics. The experiments showed that the approach works better based on the results yielded among the technical algorithms applied on the approach. The content-based algorithm returned more relevant services to the user and took shorter time as compared to the collaborative filtering. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/AFRCON.2017.8095627 | AFRICON |
Field | DocType | Citations |
Service design,Data mining,Computer science,Quality of service,Control engineering,Artificial intelligence,Service delivery framework,Collaborative filtering,Precision and recall,Web service,Big data,Machine learning,Cloud computing | Conference | 1 |
PageRank | References | Authors |
0.34 | 17 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lindelweyizizwe Manqele | 1 | 1 | 0.34 |
| Louis Coetzee | 2 | 1 | 0.34 |
| George Sibiya | 3 | 9 | 2.97 |