Bagher Rahimpour

• Mazandaran University of Science and Technology

With the expansion of social networks, their utilization in digital advertising has become a key factor in shaping public opinion and driving advertising campaigns —coordinated and targeted series of interactions between users on a specific topic. Properly directing these campaigns can focus many individuals on a particular subject, thereby creatin...

Event detection using social media analysis has attracted researchers’ attention. Prediction of events especially in the management of social crises can be of particular significance. In this study, events are predicted through analyzing Twitter messages and examining the changes in the rate of Tweets in a specified subject. In the proposed method,...

With the huge expansion of user generated content on social networks, event detection has emerged as a major challenge and source of knowledge discovery. This knowledge is employed in different applications such as recommender systems, crisis management systems, and decision support systems. Dynamicity, overlapping, and evolutionary behavior are th...

Recommender systems have been developed to assist users in retrieving relevant resources. Collaborative and content-based filtering are two basic approaches that are used in recommender systems. The former employs the feedback of users with similar interests, while the latter is based on the feature of the selected resources by each user. Recommend...

Recommender systems have been developed to overcome the information overload problem by retrieving the most relevant resources. Constructing an appropriate model to estimate the user interests is the major task of recommender systems. The profile matching and latent factors are two main approaches for user modeling. Although a notion of timestamps...

The goal of trust evaluation is to let the most trustworthy resource be selected. Indeed, the trust model should be able to detect threats. Hence, to provide a suitable ground for this selection, trust evaluation models need a mechanism to detect malicious entities. In this paper, we use a hybrid trust model for evaluating trustworthiness of each r...

The increasing reliance on information gathered from the web and other internet technologies raise the issue of trust. Through the development of semantic Web, One major difficulty is that, by its very nature, the semantic web is a large, uncensored system to which anyone may contribute. This raises the question of how much credence to give each re...

Peer-to-peer networks have become increasingly popular in the recent years. In an open peer-to-peer network peers often have to interact with unknown peers and need to manage the risk in their communications. It is very important for peers to select a trustworthy peer to accomplish a task. Peers must be able to determine the trustworthiness of othe...