Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/101246
Title: Determining the optimal reporting strategy in competitive e-marketplaces
Authors: Noorian, Zeinab
Zhang, Jie
Fleming, Michael
Marsh, Stephen
Keywords: DRNTU::Engineering::Computer science and engineering::Computer systems organization::Special-purpose and application-based systems
Issue Date: 2012
Source: Noorian, Z., Zhang, J., Fleming, M., & Marsh, S. (2012). Determining the optimal reporting strategy in competitive e-marketplaces. 2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom).
Abstract: In a reputation system for multiagent based electronic marketplaces where the number of high quality products provided by good selling agents is unlimited, buying agents often share seller information without the need to consider possible utility loss. However, when those good sellers have limited inventory, buyers may have to be concerned about the possibility of losing the opportunity to do business with the good sellers if the buyers provide truthful information about sellers, due to the competition from other buyers. In this paper, we propose an adaptive mechanism built on a game theoretic basis for buyers to determine their optimal reputation reporting strategy, by modeling both the competency and willingness of other buyers in reporting seller reputation and strategically choosing reporting behaviours that maximize their utility according to the modeling results. The results of the experiments carried out in a simulated competitive e-marketplace confirm that our proposed mechanism leads to better utility for buyers in such an environment.
URI: https://hdl.handle.net/10356/101246
http://hdl.handle.net/10220/16755
DOI: 10.1109/TrustCom.2012.125
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Conference Papers

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.