文献类型：会议论文

英文题名：Using Systematic Clustering to Improve Innovation and Enterprise Curriculum Keyword Selection in Search Engine Optimization

作者：Liu, Zhixin[1]; Zheng, Yaming[2]; Wang, Dongliang[3]; Chen, Jiayi[4]; Tian, Jiawei[5]; Gong, Qilong[5]

机构：[1] School of Life Science, Shaoxing University, Shaoxing, China; [2] Faculty of Cognitive Sciences and Human Development University Malaysia Sarawak, Sarawak, Malaysia; [3] School of Civil Engineering, Shaoxing University, Shaoxing, China; [4] Shaoxing University, Zhejiang, Shaoxing, 312000, China; [5] School of Automation, University of Electronic Science and Technology of China, Chengdu, China

会议论文集：Proceedings - 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture, AIAM 2021

会议日期：October 23, 2021 - October 25, 2021

会议地点：Manchester, United kingdom

语种：英文

外文关键词：Clustering algorithms - Curricula - Search engines

外文摘要：Clustering is a typical unsupervised learning algorithm, which does not need to label the results. Try to find and summarize the specific pattern of a certain group, and divide the information to be classified into multiple different types according to their common characteristics. Innovation and enterprise course platform as an internet course platform, improving search engine ranking is very important for platform operation. The project incubation stage of innovation and enterprise course will be publicized on the platform in the form of crowdfunding, so as to get the attention of investors. Based on the comprehensive index evaluation method based on search engine optimization method, this paper puts forward an improvement scheme. Cluster analysis algorithm is added to the traditional method. This method establishes a perfect keyword optimization strategy management mechanism. ? 2021 IEEE.