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Towards a coherence-oriented complex search experience management method

Author

Listed:
  • Zhang, Yin
  • Zhang, Bin
  • Gao, Kening
  • Li, Pengfei
  • Zhao, Yuli
  • Zhang, Changsheng

Abstract

Experiences of complex search tasks are important in social interaction and in problem solving. Considering the high importance of complex search experiences, many search experience management systems (SEMSs) have been introduced. Like any other life experience, complex search experiences should maintain 3 types of global coherence: temporal, causal and thematic coherence. However, to the best of our knowledge, none of the available SEMSs were designed to support all the 3 types of global coherence. In this paper, we introduce a coherence-oriented complex search experience management method named TimeTree. By organizing queries and clicks of a complex search task as a relative chronological source-tracking tree (RCST), TimeTree manages to support all the 3 types of global coherence. We describe a user study to evaluate TimeTree in 2 typical types of complex search task. The subjective evaluation results, the expert evaluation results, and the objective evaluation results all suggest that TimeTree can help maintain temporal, causal and thematic coherence for complex search experiences.

Suggested Citation

  • Zhang, Yin & Zhang, Bin & Gao, Kening & Li, Pengfei & Zhao, Yuli & Zhang, Changsheng, 2018. "Towards a coherence-oriented complex search experience management method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 844-856.
    • Handle: RePEc:eee:phsmap:v:506:y:2018:i:c:p:844-856
    DOI: 10.1016/j.physa.2018.03.036
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    References listed on IDEAS

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    1. Sun, Zhi & Peng, Qinke & Lv, Jia & Zhong, Tao, 2017. "Analyzing the posting behaviors in news forums with incremental inter-event time," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 203-212.
    2. Tingting Jiang, 2014. "Exploratory Search: A Critical Analysis of the Theoretical Foundations, System Features, and Research Trends," Springer Books, in: Chuanfu Chen & Ronald Larsen (ed.), Library and Information Sciences, edition 127, pages 79-103, Springer.
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