Intent boundary detection in search query logs

  • Authors:
  • Chieh-Jen Wang;Kevin Hsin-Yih Lin;Hsin-Hsi Chen

  • Affiliations:
  • National Taiwan University, Taipei, Taiwan Roc;National Taiwan University, Taipei, Taiwan Roc;National Taiwan University, Taipei, Taiwan Roc

  • Venue:
  • Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
  • Year:
  • 2010

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Abstract

Identifying intent boundary in search query logs is important for learning users' behaviors and applying their experiences. Time-based, query-based, and cluster-based approaches are proposed. Experiments show that the integration of intent clusters and dynamic time model performs the best.