{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T13:15:33Z","timestamp":1706793333893},"reference-count":28,"publisher":"Tsinghua University Press","issue":"2","license":[{"start":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T00:00:00Z","timestamp":1624233600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJCS"],"published-print":{"date-parts":[[2021,8,3]]},"abstract":"\nPurpose<\/jats:title>\nThe 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.<\/jats:p>\n<\/jats:sec>\n\nDesign\/methodology\/approach<\/jats:title>\nThis 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\u2019 relationship base on the extracted latent topics.<\/jats:p>\n<\/jats:sec>\n\nFindings<\/jats:title>\nThe experiment results show that the proposed method outperforms the baseline methods.<\/jats:p>\n<\/jats:sec>\n\nOriginality\/value<\/jats:title>\nThis method conquers the problem of word mismatch and considers the named entities included in questions, which most of existing studies did not.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/ijcs-03-2021-0006","type":"journal-article","created":{"date-parts":[[2021,6,17]],"date-time":"2021-06-17T20:04:58Z","timestamp":1623960298000},"page":"154-165","source":"Crossref","is-referenced-by-count":3,"title":["A study of similar question retrieval method in online health 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