Conversation detection in email systems

  • Authors:
  • Shai Erera;David Carmel

  • Affiliations:
  • University of Haifa, Haifa, Israel and IBM Research Lab in Haifa, Israel;IBM Research Lab in Haifa, Israel

  • Venue:
  • ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
  • Year:
  • 2008

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Abstract

This work explores a novel approach for conversation detection in email mailboxes. This approach clusters messages into coherent conversations by using a similarity function among messages that takes into consideration all relevant email attributes, such as message subject, participants, date of submission, and message content. The detection algorithm is evaluated against a manual partition of two email mailboxes into conversations. Experimental results demonstrate the superiority of our detection algorithm over several other alternative approaches.