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A Framework for Transactional Service Selection Based on Crowdsourcing

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Date
2015
Notes
LNCS n°9228
Dewey
Informatique générale
Sujet
Web service; Service selection; Crowdsourcing; QoS; Transactional properties; Voting systems
DOI
http://dx.doi.org/10.1007/978-3-319-23144-0_13
Book title
Mobile Web and Intelligent Information Systems. 12th International Conference, MobiWis 2015, Rome, Italy, August 24-26, 2015, Proceedings
Author
Muhammad Younas, Irfan Awan, Massimo Mecella
Publisher
Springer International Publishing
Year
2015
ISBN
978-3-319-23143-3
Book URL
10.1007/978-3-319-23144-0
URI
https://basepub.dauphine.fr/handle/123456789/15831
Collections
  • LAMSADE : Publications
Metadata
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Author
Angarita Arocha, Rafaël
Manouvrier, Maude
Rukoz, Marta
Type
Communication / Conférence
Item number of pages
137-148
Abstract (EN)
The growing number of services in the Web providing the same functionality but different QoS (e.g., price, execution time, and availability) and transactional properties (e.g., compensable or not) has lead to the emergence of several approaches for service selection and recommendation. Some of these approaches use collaborative filtering, QoS prediction, service reputation, among others. Existing works lack from a way to integrate all those methods and benefit from their multiple perspectives to decide how to select a service. The problem tackled in this work is the selection of the most suitable service from a set of functionally equivalent services according to the opinions of multiple contributors. We propose a framework to easily rely on crowdsourcing for service selection, where crowdsourcing contributors can be independently developed services or human experts. Our framework emphasizes on the definition of a collaborative system to allow contributors to join and participate in the selection of services.

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