Personalized Email Prioritization Based on Content and Social Network Analysis

  • Authors:
  • Yiming Yang;Shinjae Yoo;Frank Lin;Il-Chul Moon

  • Affiliations:
  • Carnegie Mellon Univ., Pittsburgh;Carnegie Mellon University, Pittsburgh;Carnegie Mellon University, Pittsburgh;Korea Advanced Institute of Science and Technology (KAIST), Daejoen

  • Venue:
  • IEEE Intelligent Systems
  • Year:
  • 2010

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Abstract

The proposed system combines unsupervised clustering, social network analysis, semisupervised feature induction, and supervised classification to model user priorities among incoming email messages.