Quality Prediction of Answers in Community of Questions and Answers of Zhihu

摘要：

　　The participation of Web2.0 in collaboration makes the Q&A social platform develop rapidly, but the problem that the answering quality is difficult to distinguish has gradually become apparent, even it hindered the healthy development of social platforms.In order to predict the Answers in Zhihu, which is the famous Community of Questions and Answers website, the quality prediction method based on Logistic Regression is proposed.Firstly, we collect dataset from Zhihu.Based on the factors, the training set is constructed.After that the two answer quality prediction models based on Logistic Regression is constructed.With the comparison of the two models, the final model is determined.It can be used to predict the answer quality of Zhihu.

关键词： Community of questions and answers Answer quality prediction Zhihu Logistic Regression

作者: Ming Li Yi Zhang Kaijuan Xing Xiaoyu Qi

作者单位: School of business administration, China University of Petroleum-Beijing, China School of information, University of Texas at Austin, USA

会议类型: 国际会议

会议名称: The Seventeenth Wuhan International Conference on E-Business(第17届武汉电子商务国际会议)

会议地点: 武汉

会议语种:英文

页码: 196-203

在线出版日期: 2018-05-25（万方平台首次上网日期，不代表论文的发表时间）