Abstract
[Purpose/significance] Facing the current situation of information overload in the Q&A community, this paper discusses how to effectively evaluate the quality of information released in the community, so as to facilitate the staff of Q&A community to screen and recommend valuable and practical answers for platform users, which will enhance user stickiness. [Method/process] Firstly, the hesitant fuzzy information evaluation matrix is established for the qualitative evaluation information. Secondly, the entropy weight method is used to initially weight the indicators in consideration of the subjectivity of information matrix. Then, considering the overlap of indicator information, the initial weights are revised based on the correlation between the indicators to improve the accuracy of answer sorting. Finally, a comprehensive ranking of answer quality is obtained based on the weighted grey relational analysis method, and the optimal answer is selected. [Result/conclusion] An example of technical Q&A community from CSDN is selected to analyze. The results show that the hesitant fuzzy sets as evaluation information can effectively solve the problem of evaluation personnel’s judgment level difference, and the revised index weights are used to make the answer ranking more in line with the actual situation
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