With the prevalence of Social Networks (SNs) and services, plenty of trust models for Trustworthy Service Recommendation (TSR) in Service-oriented SNs (S-SNs) have been proposed. The reputation-based schemes usually do not contain user preferences and are vulnerable to unfair rating attacks. Meanwhile, the local trust-based schemes generally have low reliability or even fail to work when the tr...

Open learner models (OLM) are learner models which are accessible to the learner, allowing them to view, and sometimes modify, their model. This openness may raise questions of learner trust in their learner model: if users do not agree with, or trust the information they can see about themselves, their trust in the interaction will likely be reduced. Using a Wizard-of-Oz approach, we consider ...

This article proposes a model addressing the rebuilding of post-violation trust in B2C electronic commerce. The model uses expectation-confirmation theory and provides empirical verification for the factors affecting post-violation trust rebuilding and the association between them. The factors are perceived trustworthiness, confirmation by trust restoration, satisfaction and continuance trust i...

This paper examines how Spohn’s Ordinal Conditional Functions, which are used to model belief dynamics, when appropriately adapted and interpreted, can fruitfully model the dynamics of trust. In this framework, trust is defined in terms of lack of trust (trust deficit) which is taken to be a primitive notion. It explores the notion of context sensitive trust, i.e., how in different domains of h...

In this study, we drew from the existing online trust model to develop a specific model of online lending platform trust from the perspectives of cognition-based trust and affect-based trust. Trust between lenders and borrowers have been discussed a lot but there are no empirical studies focusing on trust toward lending platforms. The dearth of the relevant studies on this aspect indicates the ...

<p>Trust is an important issue in social interactions, especially using cyberspace services. In this paper, a trust and evaluation model are proposed based on which the government can provide reliable services to users. The distributed hierarchical model. First, number 12 criteria weight of these were extracted analytical hierarchy process (AHP) analytic network (ANP) techniques. Second, ...

Cloud computing requires that customers trust that a service provider’s platforms are secured and provide a sufficient level of integrity for the client’s data. However, a lack of trust between cloud customers and providers has hindered the universal acceptance of clouds as an increasingly popular approach for the processing of large data sets and computationally expensive programs. Existing te...

Crowdsourcing and volunteered geographic information (VGI) can improve the way we collect information about the world we live in, but they are not without limitations. Traditionally sourced geographic information (GI) is implicitly trusted due to the authority of its source, whereas VGI often lacks trust. The lack of trust in VGI stems from the very nature of crowdsourcing where many sources of...

Trust models as thus far described in the literature can be seen as a monolithic structure: a trust model is provided with a variety of inputs and the model performs calculations, resulting in a trust evaluation as output. The agent has no direct method of adapting its trust model to its needs in a given context. In this article, we propose a first step in allowing an agent to reason about its ...