开发者与用户行为对移动APP下载量的影响效应分析
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摘要
随着移动互联网的发展,移动APP已成为人们日常不可或缺的工具.基于360手机助手APP商店上的3万余项移动APP样本数据,建立分位数回归模型,分析开发者与用户行为因素对移动APP下载量的影响效应.研究结果表明,开发者行为方面,含支付项、含广告等因素对下载量具有负向影响,而所需权限数量对下载量有正向促进作用.用户行为方面,用户平均评分对于下载量存在负向影响,评价数目对下载量具有正向促进作用.
With the development of mobile Internet, mobile APPs have become an indispensable tool for people's daily life. Based on more than 30,000 mobile APP samples from 360 Mobile Assistant APP stores, a quantile regression model was established to analyze the effects of developer and user behavior factors on the number of mobile APP downloads. The results show that,in terms of developer behavior,including payment items and advertising have a negative impact on the number of downloads, while the number of permissions required has a positive effect on the number of downloads. In terms of user behavior, the average score has a negative impact on the number of downloads, and the number of evaluations has a positive effect on the number of downloads.
With the development of mobile Internet, mobile APPs have become an indispensable tool for people's daily life. Based on more than 30,000 mobile APP samples from 360 Mobile Assistant APP stores, a quantile regression model was established to analyze the effects of developer and user behavior factors on the number of mobile APP downloads. The results show that,in terms of developer behavior,including payment items and advertising have a negative impact on the number of downloads, while the number of permissions required has a positive effect on the number of downloads. In terms of user behavior, the average score has a negative impact on the number of downloads, and the number of evaluations has a positive effect on the number of downloads.
引文
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[2]程镔.提高App下载量的营销策略[J].科技资讯,2014(1):219-220.
[3]赵顺.APP营销对消费者持续使用意愿的影响研究[D].吉林大学,2016.
[4] Patrali Chatterjee. Online Reviews:Do Consumers Use Them?[J]. Advances in Consumer Research,2001, 28:129-133.
[5]刘玉玲,杨韬.网络消极口碑传播的研究现状[J].轻工科技,2008, 24(10):133-134.
[6] Liu C Z, Au Y A, Choi H S. Effects of freemium strategy in the mobile app market:An empirical study of google play[J]. Journal of Management Information Systems, 2014, 31(3):326-354.
[7] Vermeulen I E, Seegers D. Tried and tested:The impact of online hotel reviews on consumer consideration[J]. Tourism Management, 2009, 30(1):123-127.
[8]朱侯,万芳彬,张丽.考虑电子口碑累积效果的手机APP BASS扩散过程的研究[J].现代情报,2018(1):108-114.
[9]鞠天骄.在线评论对移动应用下载影响的实证研究[D].吉林大学,2017.
[10] Fu B, Lin J,Li L, et al. Why people hate your app:Making sense of user feedback in a mobile app store[C]//Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 2013:1276-1284.
[11] Blei D M, Lafferty J D. Dynamic topic models[C]//Proceedings of the 23rd international conference on Machine learning ACM, 2006:113-120.
[12] Blei D M, Ng A Y, Jordan M I. Latent dirichlet allocation[J]. Journal of machine Learning research,2003, 3(Jan):993-1022.
[13] Lin C, He Y, Pedrinaci C, et al. Feature lda:a supervised topic model for automatic detection of web api documentations from the web[C]//International Semantic Web Conference Springer, Berlin,Heidelberg, 2012:328-343.
[14] Mimno D, McCallum A. Topic models conditioned on arbitrary features with dirichlet-multinomial regression[J]. arXiv preprint arXiv:1206.3278, 2012.
[15] Hong L, Davison B D. Empirical study of topic modeling in twitter[C]//Proceedings of the first workshop on social media analytics ACM, 2010:80-88.
[16] Hu M, Liu B. Mining and summarizing customer reviews[C]//Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining ACM, 2004:168-177.
[17] Laplace P S. Theorie analytique des probabilities[J].Editions Jacques Gabay,Paris,1818.
[18] Bassett G, Koenker R. Asymptotic Theory of Least Absolute Error Regression[J].Publications of the American Statistical Association, 1978, 73(363):618-622.