Authors:
Ling Liu
;
Malcolm Munro
and
William Song
Affiliation:
Durham University, United Kingdom
Keyword(s):
Online reputation systems, Evaluation, e-Commerce.
Related
Ontology
Subjects/Areas/Topics:
B2B, B2C and C2C
;
Communication and Software Technologies and Architectures
;
e-Business
;
e-Business and e-Commerce
;
Enterprise Information Systems
;
Social Information Systems
;
Social Networks and Organizational Culture
;
Society, e-Business and e-Government
;
Software Agents and Internet Computing
;
Web Information Systems and Technologies
Abstract:
Background: Centralized Online Reputation Systems (ORS) have been widely used by internet companies. They collect users’ opinions on products, transactions and events as reputation information then aggregate and publish the information to the public.
Aim: Studies of reputation systems evaluation to date have tended to focus on isolated systems or their aggregating algorithms only. This paper proposes an evaluation mechanism to measure different reputation systems in the same context.
Method: Reputation systems naturally have differing interfaces, and track different aspects of user behavior, however, from information system perspective, they all share five underlying components: Input, Processing, Storage, Output and Feedback Loop. Therefore, reputation systems can be divided into these five components and measured by their properties respectively.
Results: The paper concentrates on the evaluation of Input and develops a set of simple formulas to represent the cost of reputation i
nformation collection. This is then applied to three different sites and the resulting analysis shows the pros and cons of the differing approaches of each of these sites.
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