2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05) Multi-Faceted Information Retrieval System for Large Scale Email Archives Compi?gne University of Technology, France September 19-September 22 ISBN: 0-7695-2415-X
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WI.2005.103
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. 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.
Citation:
Jukka Perkiö, Ville Tuulos, Wray Buntine, Henry Tirri, "Multi-Faceted Information Retrieval System for Large Scale Email Archives," wi, pp.557-564, 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05), 2005 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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