Title :
CBRM: Computational Reputation Model for C2C e-Commerce Platform
Author :
Xueqin Li ; Cong Li ; Li Ma
Author_Institution :
Coll. of Comput. Sci., Sichuan Normal Univ., Chengdu, China
Abstract :
Online shopping has become an important and popular way of life. With the rapid C2C platform development, the credit problem in online shopping was being discussed. Serious loss of credit will leads to bad online business environment. However, till now lots of researchers just focus on seller reputation model to solve credit problem, thus buyer reputation model is seldom being considered. To solve the above problem, we proposed a Computational Buyer Reputation Model for C2C e-Commerce platform, i.e. CBRM. Five buyer reputation indicators, including transactions amount, seller ratings, buyer operations, chargeback ratio and real name authentication, were integrated into CBRM. By using AHP to distribute various indicator weights, we can obtain numeric value of buyer reputation. Therefore, these values can be used for sellers to choose appropriate buyers to deal with. Experiment results showed the efficiency and effectiveness of CBRM.
Keywords :
Internet; analytic hierarchy process; consumer behaviour; credit transactions; electronic commerce; retail data processing; AHP; C2C e-commerce platform; CBRM; analytic hierarchy process; buyer operations; buyer reputation indicators; buyer reputation numeric value; chargeback ratio; computational buyer reputation model; credit loss; credit problem; customer-to-customer; indicator weights; online business environment; online shopping; real name authentication; seller ratings; seller reputation model; transactions amount; Authentication; Computational modeling; Mathematical model; Numerical models; Solid modeling; Virtual reality; Visualization; Analytic Hierarchy Process; Customer to Customer; e-Commerce platform; reputation model;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2014 Seventh International Symposium on
Print_ISBN :
978-1-4799-7004-9
DOI :
10.1109/ISCID.2014.213
