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Exploratory Search on Social Media

Aaron Ruß; Michael Kaisser
In: Pavel Serdyukov; Pavel Braslavski; Sergei O. Kuznetsov; Jaap Kamps; Stefan Rüger; Eugene Agichtein; Ilya Segalovich; Emine Yilmaz (Hrsg.). Advances in Information Retrieval: 35th European Conference on IR Research. European Conference on Information Retrieval (ECIR-13), March 24-27, Moscow, Russian Federation, Pages 845-848, Lecture Notes in Computer Science (LNCS), Vol. 7814, ISBN 978-3-642-36973-5, Springer, Berlin Heidelberg, 2013.


The rise of Social Media creates a wealth of information that can be very valuable for private and professional users alike. But many challenges surrounding this relatively new kind of information are yet unsolved. This is true for algorithms that efficiently and intelligently process such data, but also for methods of how users can conveniently access it and how results are displayed. In this paper we present a tool that lets users perform exploratory search on several Social Media sites in parallel. It gives users the opportunity to explore a topic space, and to better understand facets of current discussions.

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