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Trust is one source of information that has been widely adopted to personalize online services for users, such as in product recommendations. However, trust information is usually very sparse or unavailable for most online systems. To narrow this gap, we propose a principled approach that predicts implicit trust from users' interactions, by extending a well-known trust antecedents framework. Specifically,...
The community structure is an important property of social networks. Motivated by circuit theory, a social network can be represented as an electric circuit with notions of voltages of nodes and currents of edges. Based on the electric circuit model, we propose an improved algorithm for finding the community structure in social networks. In the proposed algorithm, a social network can be divided into...
This paper provides an approach for improving the trust modelling of users when a social network of advisors is employed (for example when advisors are recommending the most trustworthy service providers). We present three important improvements to trust modelling, two directly relating to the size of the network (through either the use of a threshold or by setting a maximum network size) and a third...
An increasingly large number of cars are being equipped with global positioning system and Wi-Fi devices, enabling vehicle-to-vehicle (V2V) communication with the goal of providing increased passenger and road safety. This technology actuates the need for agents that assist users by intelligently processing the received information. Some of these agents might become self-interested and try to maximize...
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