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Web Intelligence, IEEE / WIC / ACM International Conference on (2005)
Compi?gne University of Technology, France
Sept. 19, 2005 to Sept. 22, 2005
ISBN: 0-7695-2415-X
pp: 557-564
Jukka Perkiö , Helsinki Institute for Information Technology
Ville Tuulos , Helsinki Institute for Information Technology
Wray Buntine , Helsinki Institute for Information Technology
Henry Tirri , Nokia Research Center
ABSTRACT
<p>We profile a system for search and analysis of large-scale email archives. The system builds around four facets: Content-based search engine, statistical topic model, automatically inferred social networks and time-series analysis. The facets correspond to the types of information available in email data.</p> <p>The presented system allows chaining or combining the facets flexibly. Results of one facet may be used as input to another, yielding remarkable combinatorial power. In information retrieval point of view, the system provides support for exploration, approximate textual searches and data visualization. We present some experimental results based on a large real-world email corpus.</p>
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CITATION

W. Buntine, J. Perkiö, V. Tuulos and H. Tirri, "Multi-Faceted Information Retrieval System for Large Scale Email Archives," Proceedings. The 2005 IEEE/WIC/ACM International Conference on Web Intelligence(WI), Compiegne, France, 2005, pp. 557-564.
doi:10.1109/WI.2005.103
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