ECIR Workshop on Information Retrieval over Social Networks

Toulouse, France, 6th April, 2009 - In conjunction with ECIR 2009

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Popular online communities and services such as Flickr, Youtube, Facebook or LinkedIn are spearheading an emerging type of information on the Web. This information is composed of classical textual and multimedia data, in concert with additional data (tags, annotations, comments, ratings). Perhaps most significantly, the information is overlaid on an explicit social network created by the participants of each of these communities. The result is a rich structure of inter-relationships between content items, participants and services. Although the size of such networks requires the use of advanced Information Retrieval techniques, classical IR models are not tailored for this type of content as they do not (in general) take advantage of the particular structure and unique aspects of this socially-driven content. This workshop proposes to report about the state-of-the-art in this direction and to gather a relevant panel of researchers working in the field. We look for contributions in all aspects of Information Retrieval over Social Networks, including:

  • Applications of Information Retrieval over Social Network
  • Adapted IR models for Social Networks
  • Mining Social Network data
  • Privacy issues in Social Network information retrieval
  • Trust and Reliability issues in Social Network information retrieval
  • Knowledge and Content Discovery in Social Networks
  • Information diffusion over Social Networks
  • Performance evaluation for the above (measures, test collections…)

All submitted papers will then be peer-reviewed by the workshop programme committee. The paper selection criteria are the same as that of the main conference. Submissions must be written in English following the ACM SIG Proceedings style, not exceeding 6 pages including references and figures. We target the edition of a Special Issue in a known IR journal as a result of the workshop.

Important dates:
  • February 4th, 2009: Extended submission deadline
  • February 20th, 2009: Acceptance notification
  • March 11th, 2009: Final paper submission (strict deadline)
  • April 6th, 2009: Worshop
Programme
Organisation:
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Programme Committee (Alphabetical order):
  • Sihem Amer-Yahia, Yahoo! Research, USA
  • Susanne Boll, Oldenburg, Germany
  • Eric Bruno, Geneva, Switzerland
  • Fabio Crestani, Lugano, Switzerland
  • Brian Davison, Lehigh University, USA
  • Alan Hanjalic, TU Delft, The Netherlands
  • Paul Heymann, Stanford University, USA
  • Gareth Jones, DCU, Ireland
  • Joemon Jose, Glasgow, UK
  • Amélie Marian, Rutgers University, USA
  • Bernard Merialdo, EURECOM, France
  • Andreas Nuernberger, Otto-von-Guericke-University Magdeburg, Germany
  • Adam Rae, Yahoo! Research, Barcelona, Spain
events/ir_sn.txt · Last modified: 2009/04/05 12:28 by marchand
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Keywords: machine learning, information geometry, data mining, Big Data, affective information retrieval (recherche d'information), information visualisation, content-based image and video retrieval (CBIR, CBR, CBVR, CBMR, CBMIR), information mining, classification, multimedia and multimodal information management, semantic web, knowledge base (RDF, OWL, XML, metadata, auto-annotation, description), multimodal information fusion