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Web Services Reputation Based on Consumer Preferences

Web Services Reputation Based on Consumer Preferences

Rohallah Benaboud, Toufik Marir
Copyright: © 2020 |Pages: 14
ISBN13: 9781799829751|ISBN10: 1799829758|ISBN13 Softcover: 9781799829768|EISBN13: 9781799829775
DOI: 10.4018/978-1-7998-2975-1.ch006
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MLA

Benaboud, Rohallah, and Toufik Marir. "Web Services Reputation Based on Consumer Preferences." Novel Approaches to Information Systems Design, edited by Naveen Prakash and Deepika Prakash, IGI Global, 2020, pp. 123-136. https://doi.org/10.4018/978-1-7998-2975-1.ch006

APA

Benaboud, R. & Marir, T. (2020). Web Services Reputation Based on Consumer Preferences. In N. Prakash & D. Prakash (Eds.), Novel Approaches to Information Systems Design (pp. 123-136). IGI Global. https://doi.org/10.4018/978-1-7998-2975-1.ch006

Chicago

Benaboud, Rohallah, and Toufik Marir. "Web Services Reputation Based on Consumer Preferences." In Novel Approaches to Information Systems Design, edited by Naveen Prakash and Deepika Prakash, 123-136. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-2975-1.ch006

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Abstract

With the increasing application of web services in our lives, selecting the right web service is becoming unprecedentedly difficult. Indeed, before paying the price of a web service, the customer always tries to make sure of his choice. One of the mechanisms used to put the customer in trust is to make available the opinions of other customers who have already used this web service. In the literature, many solutions for measuring the reputation of web services have been proposed. Unfortunately, they ignore certain aspects that we find important to ensure a more meaningful assessment of the reputation. Firstly, consumers do not always have the same satisfaction criteria, and as a result, they can judge the same web service differently. Thus, without knowing the consumer's preferences, it is almost impossible to give meaning to his opinion. Secondly, the qualities of a web service can be changed over time, and hence, the old ratings are no longer representative. In this chapter, the authors propose a novel reputation computation approach to deal with the problems mentioned above.

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