Service compositions are a means to create value-added services for service provider, as well as for service requester. From the consumer-centric point of view services that meet the predefined preferences of service requester add both economic value and satisfaction. In order to achieve consumer satisfaction in a market place it is necessary for service providers to design fair-algorithms for service composition and ranking of services, so that consumers will have less difficulty in selecting their most preferred services without much difficulty. This consumer-oriented approach has the potential to add value-added trust for business, leading to profitable business and healthier consumer relation. Motivated by this theme this paper proposes a fair ranking algorithm for composite services.
CITATION STYLE
Alagar, V., Alsaig, A., & Mohammad, M. (2019). Ranking composite services. In Advances in Intelligent Systems and Computing (Vol. 852, pp. 100–110). Springer Verlag. https://doi.org/10.1007/978-3-319-99981-4_10
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