Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network

  Advanced Search  

Lehrstuhl fr Informatik 9 Zeit: Freitag, 16. Mrz 2012, 11:00 Uhr

Summary: Lehrstuhl für Informatik 9
Zeit: Freitag, 16. März 2012, 11:00 Uhr
Ort: AH 6, Ahornstr. 55
Referent: Prof. Martin Ester
Simon Fraser University, Vancouver, Kanada
Titel: Probabilistic Models for Data Mining in Social Media
Social media are media for social interaction, using highly accessible and scalable
communication techniques to create and exchange user-generated content. While
conventional media such as newspapers and TV are restricted to professional au-
thors and are expensive to produce, social media are associated with low costs and
allow large numbers of amateurs to publish their content. Another distinctive feature
of social media is the support of various forms of interaction among content produc-
ers and consumers, e.g. by sharing, rating, and commenting on user-generated con-
tent. While social media sites provide a rapidly increasing wealth of potentially valua-
ble content, their huge size makes it very hard for users to find the most relevant con-
tent. Therefore, researchers are exploring novel data mining methods to exploit the
full potential of social media.
In this talk, we focus on social rating networks, social networks in which edges repre-
sent social relationships and users (nodes) express ratings on some of the given


Source: Ábrahám, Erika - Fachgruppe Informatik, Rheinisch Westfälische Technische Hochschule Aachen (RWTH)


Collections: Computer Technologies and Information Sciences