In online auction marketplaces, item misrepresentation is one of the most common forms of seller deception. The impact of coarse-grained incentive manipulations on deceptive seller behavior in online markets had not been studied. We demonstrate experimental control over seller honesty, quantify this behavior relative to ground truth, and link it to personality. We recruited 62 experienced onlin...

In large scale online systems, such as electronic marketplaces and peer-to-peer systems, users often act in their self interest without considering whether their actions lead to efficient outcomes for the system. This thesis studies two important classes of mechanisms that can be used to incentivize users to act in a way that promotes efficiency. Aggregation mechanisms provide aggregate informa...

In our increasingly interconnected world, the need for reputation is becoming more important as larger numbers of people and services interact online. Reputation is a tool to facilitate trust between entities, as it increases the efficiency and effectiveness of online services and communities. As most entities will not have any direct experience of other entities, they must increasingly come to...

In this paper, we present a model for designing buying agents in electronic marketplaces that adapt by adjusting decisions about which sellers to select for business, based on reputation ratings provided by other buying agents in the marketplace (known as indirect reputation information). The focus of our research is a method for effectively representing and employing this indirect reputation i...

Online Reputation management systems compute, manage, and provide reputation about entities which act on the Web. An important research question is how such a reputation management system can be build for the Semantic Web. In this paper we contribute with a reputation management system based on distributed rule agents, which uses Semantic Web rules for implementing the reputation management fun...

In this paper, we investigate how dynamic properties of reputation can influence the quality of users ranking. Reputation systems should be based on rules that can guarantee a high level of trust and help identifying unreliable units. To understand the effectiveness of dynamic properties in the evaluation of reputation, we propose our own model (DIB-RM) that is based on three factors: forgettin...

objective: to study the mechanisms involved in amyloid formation processes, we made a mammalian cell culture model of amylin aggregation and characterized its properties. materials and methods: amyloid fibrils were extracted from cho cells and binding affinity to thioflavin t and congo red was investigated. then the apple-green birefringence of extracted fibrils was detected under polarized li...

In recent years, we have witnessed an increasing use of trust and reputation systems in different areas of ICT. The idea at the base of trust and reputation systems is of letting users to rate the provided services after each interaction. Other users may use aggregate ratings to compute reputation scores for a given party. The computed reputation scores are a collective measure of parties trust...

Reputation mechanisms for distributed e-Communities are vital tools for facilitating trust decisions regarding transactions between entities. Motivated by the current challenges in the area of P2P reputation systems regarding their desgign, credibilty enhancement and objective evaluation, in this thesis we worked towards (1) creating a framework for the development and evaluation of secure repu...

Web 2.0 has transformed how reputation systems are designed and used by the Web. Based on a thorough review of the existing online reputation systems and their challenges in use, this paper studied a case of Amazon’s reputation system for the impacts of Web 2.0. Through our case study, several distinguished features of new generation reputation systems are noted including multimedia feedbacks, ...