2019 Vol.2 Oct. No.5

• Title: Risk Prediction Model of WeChat Public Information Information Transmission in University Library Based on Machine Learning
• Name: Weining Huang
• Company: Guangdong university of Science&Technology Library
• Abstract:

  Due to the increase in the variety and number of network information, users also have more expectations for the intelligent services of mobile libraries. The risk of information dissemination is also greatly increased. Based on this, a risk prediction model for the information dissemination of the WeChat public account of university libraries based on machine learning is proposed. It mainly includes four parts of the content collection and representation, access control, network risk calculation and risk identification. According to the experimental results, the risk prediction model of WeChat public account information based on machine learning in this paper is higher than the traditional model, which has certain advantages and realistic desirability.

• Keyword: Machine Learning; University Library; Wechat Public Number; Information Communication Risk;
• DOI: 10.12250/jpciams2019050550
• Citation form: Weining Huang.Risk Prediction Model of WeChat Public Information Information Transmission in University Library Based on Machine Learning[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 51-54.

[1] Zhi Yingying. The Application of Machine Learning in Library Knowledge Discovery System——Taking the Knowledge Mapping Based Discovery Tool Yewno as an Example [J]. Agricultural Library and Information Science, 2018, 49(7):47-50.

[2] Guo Limin, Liu Wei, Wu Peijuan, Zhang Lei. Preliminary Study on Machine Learning in Library: Taking TensorFlow as an Example [J]. University Library Journal,2017,35(06):31-40.

[3] Hua Wenyang, Xia Luyi, Wen Hanlin, et al. Communication Strategy of Education WeChat Public Platform——Based on Analysis of CIMC Model [J]. New media research,2019,5(5):1-4.

[4] Liu Houqin. Machine learning algorithm credit risk prediction model[J].Microcomputer Applications, 2019, 35(2): 70-73.

[5] Zhang Guoge, Xie Yan, Han Yanhui, et al. Intranet terminal security risk analysis model based on vulnerability management [J]. China Science and Technology Information, 2018,44(11):71-72.