Volume 36, Issue 3 (Spring 2021)                   ... 2021, 36(3): 709-736 | Back to browse issues page


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Anbaraki S, Jowkar A. Evaluating and Predicting the Quality of Answers Factors in the Research Gate’s Question and Answer System: a Case Study of the Thematic Domain of Knowledge Management. .... 2021; 36 (3) :709-736
URL: http://jipm.irandoc.ac.ir/article-1-4316-en.html
Shiraz University;Shiraz,Iran
Abstract:   (1557 Views)
Question answering (QA) helps one go beyond traditional keywords-based querying and retrieve information in more precise form than given by a document or a list of documents. These communities allow users to submit queries and receive answers or responses from other members. But, there is no clear way of evaluating the quality of that information. The purpose of this study was to evaluate and predict the quality of responses in the Research Gate Social Science Network. To achieve this goal, the questions and answers entered in the field from January to May 2019 surveyed in the field and the required information was collected by the site crawler. Finally, 54 questions and 443 answers were analyzed in descriptive and inferential levels by SPSS 22 software. The results show that the relevance, adequacy, and concordance variables with the odds ratios of 3.626, 3.440 and 3.148 have the most power to predict the correct or incorrect responses, respectively.
Full-Text [PDF 606 kb]   (496 Downloads)    
Type of Study: Research | Subject: Knowledge Management
Received: 2019/08/20 | Accepted: 2020/07/8 | Published: 2021/04/5

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