Bufei Xing, Haonan Yin, Zhijun Yan and Jiachen Wang
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…
Abstract
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.