摘要
为了科学地对高度复杂、难控的移动网络环境下网购行为执行意向进行预测,首先采用基于数理统计函数、基于网格计算的函数、基于大数据定性划分函数提出移动网购行为执行意向的情境大数据挖掘方法;其次归纳基于情境大数据的移动网购行为执行意向演化动力机制,并设计基于情境大数据的移动网购行为执行意向预测算法和模型,进行趋势、结构、综合预测的结果分析;最后,进行应用实验。性能分析结果表明,该模型具有一定的实用价值。
To predict scientifically execution intention of online shopping behaviors under the environment of highly complex and hard-to-control Mobile Internet, firstly, situational big data mining methods of execution intention of mobile online shopping behaviors were put forward by adopting functions based on mathematical statistics, functions based on grid computing and qualitative partition function based on big data; Secondly, dynamic mechanisms on execution intention evolution of mobile online shopping behaviors based on situational big data were summarized, and prediction algorithms and models on execution intention of mobile online shopping behaviors based on situational big data were designed, and result analysis of trend, structure and comprehensive prediction was carried out; Finally, application experiments were carried out. Results of performance analysis show that the model has certain practical value.
引文
[1]McDonald,Holine K.Study on forecasting models of execution intention of internet shopping behaviors under the background of big data[J].World Internet Marketing,2018(3):125-128
[2]赵杨,王林.网购行为执行意向的结构探究[J].管理现代化,2015.3:102-104
[3]张亚明,赵杨,王林.基于执行意向理论的网购评论行为反应模式研究[J].软科学,2016.30(7):118-123
[4]王林,贾瑞雪,刘月等.行为执行意向理论下网购营销策略案例分析[J].商业经济研究,2016.21:62-64
[5]于海平,林晓丽,刘会超.基于数据挖掘的移动广告个性化推荐研究[J].计算机技术与发展,2014.24(8):234-237
[6]王林,季美旭,方恒.图文情景线索对网购行为意向的影响研究[J].管理现代化,2016.3:93-95