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SNS (Social Network Service) characterized by Facebook and Twitter has become the next generation paradigm of obtaining data, information and knowledge on the web. The aim of this paper is to recommend relevant expert communities to users on the social network by exploiting the extended object-based thesaurus. It is basically an object- based thesaurus taking the urls of domain experts as its instances...
Trust among Internet users and thus social networks plays an important role in e-commerce and other Internet applications. However, the precise mathematical model of trust and thus applications based on trust in e-commerce system has not been satisfactorily established yet. In this paper, we present a probability theoretic framework to quantitatively measure trust as mathematical reasoning and to...
Co-clustering can be viewed as a two-way (bilinear) factorization of a large data matrix into dense/uniform and possibly overlapping sub-matrix factors (co-clusters). This combinatorially complex problem emerges in several applications, including behavior inference tasks encountered with social networks. Existing co-clustering schemes do not exploit the fact that overlapping factors are often sparse,...
The following topics are dealt with: pervasive computing; context reasoning; quality of service; mobile peer-to-peer computing; ubiquitous communication; social networking; pervasive learning; health care; wireless sensor network; middleware; pervasive wireless networking; smart environment; and World Wide Web.
Many social networking platforms have emerged on the Web, such as MySpace and Facebook. In those networks, most participants are usually physically unknown in real life and have no prior direct interactions with each other. Hence, it is necessary to form complex trust-oriented social networks with more trust related information and infer trust values between participants. The inferred trust results...
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