Abstract—In an online environment, the aim of reputation systems is to let parties rate each other and to help consumers in deciding whether or not to transact with a given party. In current reputation systems for e-commerce, users have to trust unreliable information sources and anonymous people. As a result, users are not only hesitant to trust online seller but also reputation systems. Therefore, there is a need to improve current reputation systems by allowing users to make buying decision based on reliable source of information. This paper proposes a new approach of sharing knowledge and experience in reputation systems by utilizing social interactions. This study examines the potentials of integrating social relations information in reputation systems by proposing a model of acceptance of feedbacks in reputation systems. This can assist users to access trustworthy information sources by knowing the experience and feedback from people within their social communities. Through this approach, feedback will be filtered and presented based on evaluation of three factors. They are homophily, tie strength and source credibility based on relations between submitter and receiver of feedback to increase effectiveness of reputation systems.
Index Terms—E-commerce, trust, reputation systems, social networks, online.
Fereshteh Ghazizadeh Ehsaei is with the Department of Information Systems, Universiti Teknologi Malaysia, Johor, Malaysia (e-mail: firstname.lastname@example.org).
Ab. Razak Che Hussin is with the Department of Information Systems, University Technology Malaysia, Johor, Malaysia (e-mail: email@example.com)
Mohammadali Kianian is with the Department of Educational Multimedia, University Technologi Malaysia, Johor, Malaysia(firstname.lastname@example.org).
Cite: Fereshteh Ghazizadeh Ehsaei, Ab. Razak Che Hussin, and Mohammadali Kianian, "Developing a Model of Social Relation Support for Online Reputation Systems," International Journal of Future Computer and Communication vol. 2, no. 3 pp. 179-183, 2013.