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A study of similar question retrieval method in online health communities

  • Bufei Xing
  • , Haonan Yin
  • , Zhijun Yan*
  • , Jiachen Wang
  • *此作品的通讯作者
  • Baidu Inc
  • University of California at Irvine
  • Beijing Institute of Technology

科研成果: 期刊稿件文章同行评审

摘要

Purpose: The purpose of this paper is to propose a new approach to retrieve similar questions in online health communities to improve the efficiency of health information retrieval and sharing. Design/methodology/approach: This paper proposes a hybrid approach to combining domain knowledge similarity and topic similarity to retrieve similar questions in online health communities. The domain knowledge similarity can evaluate the domain distance between different questions. And the topic similarity measures questions’ relationship base on the extracted latent topics. Findings: The experiment results show that the proposed method outperforms the baseline methods. Originality/value: This method conquers the problem of word mismatch and considers the named entities included in questions, which most of existing studies did not.

源语言英语
页(从-至)154-165
页数12
期刊International Journal of Crowd Science
5
2
DOI
出版状态已出版 - 3 8月 2021

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