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In this paper, we propose an architecture for personalizing information retrieval (IR), exploiting the interactions between the user and the social network. We use an extension of a Dung argumentation framework to show how the precision of the personalized information retrieval system could be improved. We use also social media and search history to define the user-profile which is represented by...
Social media gives ordinary people the power to be content creators and information disseminators. This information is embedded in multimedia shared across social networks, containing valuable indications about various facets of human life–about what captures our attention, our sharing biases, and the digital traces we abdicate. Social multimedia signal processing aims to transform...
With the advent of Web 2.0, the Web is acting as a platform which enables end-user content generation. As a major type of social media in Web 2.0, Web forums facilitate intensive interactions among participants. International Jihadist groups often use Web forums to promote violence and distribute propaganda materials. These Dark Web forums are heterogeneous and widely distributed. Therefore, how to...
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