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Rethinking email message and people search

Published: 20 April 2009 Publication History

Abstract

We show how a number of novel email search features can be implemented without any kind of natural language processing (NLP) or advanced data mining. Our approach inspects the email headers of all messages a user has ever sent or received and it creates simple per-contact summaries, including simple information about the message exchange history, the domain of the sender or even the sender's gender. With these summaries advanced questions/tasks such as "Who do I still need to reply to?" or "Find 'fun' messages sent by friends." become possible. As a proof of concept, we implemented a Mozilla-Thunderbird extension, adding powerful people search to the popular email client.

References

[1]
K. Balog and M. de Rijke. Finding experts and their eetails in e-mail corpora. In The 15th international conference on World Wide Web (WWW), pages 1035--1036, 2006.
[2]
C. S. Campbell, P. P. Maglio, A. Cozzi, and B. Dom. Expertise identification using email communications. In The 12th international conference on Information and knowledge management (CIKM), pages 528--531, 2003.
[3]
A. Culotta, R. Bekkerman, and A. McCallum. Extracting social networks and contact information from email and the web. In The 1st Conference on Email and Anti-Spam (CEAS), 2004.
[4]
P. Kazienko and K. Musial. Mining personal social features in the community of email users. In The 34th Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM), pages 708--719, 2008.
[5]
S. Michel and I. Weber. Eagleeye -- reclaim your address book, 2008. http://eagleeye.sourceforge.net.
[6]
A. Smith and M. Brezina. Xobni -- it's inbox backwards., 2007. http://www.xobni.com.

Cited By

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  • (2017)Characterizing Email Search using Large-scale Behavioral Logs and SurveysProceedings of the 26th International Conference on World Wide Web10.1145/3038912.3052615(1511-1520)Online publication date: 3-Apr-2017

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  1. Rethinking email message and people search

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    cover image ACM Conferences
    WWW '09: Proceedings of the 18th international conference on World wide web
    April 2009
    1280 pages
    ISBN:9781605584874
    DOI:10.1145/1526709

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 20 April 2009

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    Author Tags

    1. email
    2. email search
    3. inbox 2.0
    4. people search

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    Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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    • (2017)Characterizing Email Search using Large-scale Behavioral Logs and SurveysProceedings of the 26th International Conference on World Wide Web10.1145/3038912.3052615(1511-1520)Online publication date: 3-Apr-2017

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