Expertise identification using email communications
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Finding experts and their eetails in e-mail corpora
Proceedings of the 15th international conference on World Wide Web
Mining personal social features in the community of email users
SOFSEM'08 Proceedings of the 34th conference on Current trends in theory and practice of computer science
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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.