Multi-faceted information retrieval system for large scale email archives

Jukka Perkiö; Ville Tuulos; Wray Buntine; Henry Tirri

doi:10.1109/WI.2005.103

Multi-faceted information retrieval system for large scale email archives

Jukka Perkiö, Ville Tuulos, Wray Buntine, Henry Tirri

Department of Data Science & AI

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

3 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	557-564
Number of pages	8
Volume	2005
ISBN (Print)	076952415X, 9780769524153
DOIs	https://doi.org/10.1109/WI.2005.103
Publication status	Published - 1 Dec 2005
Event	IEEE/WIC/ACM international Conference on Web Intelligence 2005 - Compiegne Cedex, France Duration: 19 Sept 2005 → 22 Sept 2005

Conference

Conference	IEEE/WIC/ACM international Conference on Web Intelligence 2005
Abbreviated title	WI 2005
Country/Territory	France
City	Compiegne Cedex,
Period	19/09/05 → 22/09/05

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10.1109/WI.2005.103

Cite this

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title = "Multi-faceted information retrieval system for large scale email archives",

abstract = "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.",

author = "Jukka Perki{\"o} and Ville Tuulos and Wray Buntine and Henry Tirri",

year = "2005",

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doi = "10.1109/WI.2005.103",

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booktitle = "Proceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "IEEE/WIC/ACM international Conference on Web Intelligence 2005, WI 2005 ; Conference date: 19-09-2005 Through 22-09-2005",

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Perkiö, J, Tuulos, V, Buntine, W & Tirri, H 2005, Multi-faceted information retrieval system for large scale email archives. in Proceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005. vol. 2005, IEEE, Institute of Electrical and Electronics Engineers, pp. 557-564, IEEE/WIC/ACM international Conference on Web Intelligence 2005, Compiegne Cedex, France, 19/09/05. https://doi.org/10.1109/WI.2005.103

Multi-faceted information retrieval system for large scale email archives. / Perkiö, Jukka; Tuulos, Ville; Buntine, Wray et al.
Proceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005. Vol. 2005 IEEE, Institute of Electrical and Electronics Engineers, 2005. p. 557-564.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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AU - Tuulos, Ville

AU - Buntine, Wray

AU - Tirri, Henry

PY - 2005/12/1

Y1 - 2005/12/1

N2 - 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.

AB - 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.

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M3 - Conference Paper

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BT - Proceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005

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Y2 - 19 September 2005 through 22 September 2005

ER -

Multi-faceted information retrieval system for large scale email archives

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