基于画像技术对学生实现精准分析和服务
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摘要
用户画像技术是一种应用领域广泛的新型精准化分析技术。在高校管理过程中,如何实现对学生的精准管理一直是学校管理的难点。借助用户画像技术,基于高校智慧校园的大数据,通过标签分类技术,数据加工技术,模型分析技术等,实现对学生的精准化画像可以有效地解决这个难点。本文对学生用户画像主要技术进行了解析,通过学生用户画像技术应用,高校管理者可以有效地提升对学生的管理水平。
User portrait technology is a new type of precision analysis technology with wide application fields. In the process of university management,how to realize the precise management of students has always been the difficulty of school management. With the help of user portrait technology,based on the large data of University intelligent campus,through tag classification technology,data processing technology,model analysis technology,etc.,to achieve accurate portrait of students can effectively solve this difficulty. In this paper,the main techniques of student user portrait are analyzed. Through the application of student user portrait technology,university administrators can effectively improve the management level of students.
User portrait technology is a new type of precision analysis technology with wide application fields. In the process of university management,how to realize the precise management of students has always been the difficulty of school management. With the help of user portrait technology,based on the large data of University intelligent campus,through tag classification technology,data processing technology,model analysis technology,etc.,to achieve accurate portrait of students can effectively solve this difficulty. In this paper,the main techniques of student user portrait are analyzed. Through the application of student user portrait technology,university administrators can effectively improve the management level of students.
引文
[1]亓丛,吴俊.用户画像概念溯源与应用场景研究[J].重庆交通大学学报(社会科学版),2017,17(05):82-87.
[2]郭光明.基于社交大数据的用户信用画像方法研究[D].合肥:中国科学技术大学,2017.
[3]马超.基于主题模型的社交网络用户画像分析方法[D].合肥:中国科学技术大学,2017.
[4]周鲜子.浅谈大数据下电子商务网站的用户画像[J].黑龙江科技信息,2017(11):175.
[5]杨洁.面向企业营销的全景用户画像与模型预测[D].杭州:浙江大学,2017.
[6]姜建武,李景文,陆妍玲,等.基于用户画像的信息智能推送方法[J].微型机与应用,2016,35(23):86-89+92.
[7]刘光榕,任建涛.基于客户画像的精准推荐[J].科技经济导刊,2016(35):22+78.
[8]曾鸿,吴苏倪.基于微博的大数据用户画像与精准营销[J].现代经济信息,2016(16):306-308.
[9]李映坤.大数据背景下用户画像的统计方法实践研究[D].北京:首都经济贸易大学,2016.
[2]郭光明.基于社交大数据的用户信用画像方法研究[D].合肥:中国科学技术大学,2017.
[3]马超.基于主题模型的社交网络用户画像分析方法[D].合肥:中国科学技术大学,2017.
[4]周鲜子.浅谈大数据下电子商务网站的用户画像[J].黑龙江科技信息,2017(11):175.
[5]杨洁.面向企业营销的全景用户画像与模型预测[D].杭州:浙江大学,2017.
[6]姜建武,李景文,陆妍玲,等.基于用户画像的信息智能推送方法[J].微型机与应用,2016,35(23):86-89+92.
[7]刘光榕,任建涛.基于客户画像的精准推荐[J].科技经济导刊,2016(35):22+78.
[8]曾鸿,吴苏倪.基于微博的大数据用户画像与精准营销[J].现代经济信息,2016(16):306-308.
[9]李映坤.大数据背景下用户画像的统计方法实践研究[D].北京:首都经济贸易大学,2016.