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Online Service Similarities and Reputation-based Selection

Authors:
Oana Dini
Pascal Lorenz
Abdelhafid Abouaissa
Hervé Guyennet

Keywords: service similarity; similarity class; temporal similarity; selection patterns

Abstract:
Selection of the most appropriate service by correct invocation is a challenge. This is due to the difficulties of correctly exposing proper ways to invoke a service, to the variety of services, from on-line services, software pieces, to shopping, and to different invoker behavior. When considering invoker feedback, service ranking based on the user’s perception, or based on the recommenders’ statistics are relevant. The paper presents adapted approaches to select services based on distance and similarity, and introduces a similarity taxonomy to better tune various kinds of service invocation under specific constraints, such as relaxation, type of similarity, context, and service ranking. Selection is also based on the feedback from the user. The proposed model is used for building a selection algorithm that allows variations on service invocation.

Pages: 92 to 97

Copyright: Copyright (c) IARIA, 2010

Publication date: November 21, 2010

Published in: conference

ISSN: 2308-3549

ISBN: 978-1-61208-105-2

Location: Lisbon, Portugal

Dates: from November 21, 2010 to November 26, 2010