喜马拉雅付费精品播放量影响因素分析
The Analysis of Impact Factors on the Playback Amount of Himalaya’s Paid Boutique
DOI: 10.12677/HJDM.2018.83014, PDF,    国家自然科学基金支持
作者: 郭丽清*:厦门大学嘉庚学院,福建 漳州
关键词: 知识付费统计分析回归模型Knowledge Payment Statistical Analysis Regression Model
摘要: 随着GDP增长,消费结构升级,各类知识付费平台应运而生。本文选取人均启动次数最多的喜马拉雅知识付费平台为研究对象,爬取其2017年8月付费精品专辑课程的数据,统计分析探究课程类别、定价模式、课程时长、点赞次数等因素对课程播放量的影响,建立相应的回归模型,并尝试打造一个爆款专辑。数据分析表明,教育培训和儿童的课程类别市场需求度比较高,专辑起名主要靠新意,点赞数、评论数、标签个数与课程的播放量呈正相关。在对数线性回归模型中,相对于专辑类别这一变量,情感生活比有声书高46.8%。
Abstract: With the growth of GDP and the upgrade of consumption structure, various types of knowledge payment platforms have emerged. This paper selects the Himalayan knowledge payment platform with the highest number of launches per capita as the research object, and crawls the data of its paid boutique album courses in August 2017. The statistical analysis explores how the amount of play of courses changes under the impact of course category, pricing model, duration of courses, number of likes etc., establishes a corresponding regression model, and attempts to create a popular album. The data analysis shows that the market demand for education training and children’s course categories is relatively high. The album name is mainly based on new ideas, and the number of likes, comments and tags is positively related to the number of play of courses. In the logarithmic linear regression model, the emotional life is 46.8% higher than the audio book with respect to the variable of album category.
文章引用:郭丽清. 喜马拉雅付费精品播放量影响因素分析[J]. 数据挖掘, 2018, 8(3): 121-130. https://doi.org/10.12677/HJDM.2018.83014

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