基于互联网搜索信息的预测模型研究——以余额宝产品需求为例

北京邮电大学学报(社会科学版) ›› 2015, Vol. 17 ›› Issue (3): 36-41.

基于互联网搜索信息的预测模型研究——以余额宝产品需求为例

北京邮电大学经济管理学院，北京100876

收稿日期:2014-10-23 出版日期:2015-06-30 发布日期:2023-03-27

Prediction Model Based on Internet Search Information ——Taking Yu’e Bao Product Demand as an Example

School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2014-10-23 Online:2015-06-30 Published:2023-03-27

摘要/Abstract

摘要： 基于百度指数，以余额宝资产规模为例，运用ARIMA模型构建引入互联网搜索量的市场需求预测模型，同时建立不含互联网搜索量的预测模型，并将二者进行对比研究，发现包含互联网搜索量数据的预测模型的预测准确度更高，说明互联网搜索量数据包含一些在传统模型中未能考虑到的因素，该变量的引入有利于提高模型的预测准确度，为产品或服务的市场决策提供更加精确的预测结果。

关键词: 互联网搜索量, 百度指数, 余额宝资产规模, 预测模型

Abstract: Based on Baidu index and taking Yu’E Bao asset volume as an example, market demand prediction models containing Internet search volume and excluding Internet search volume are constructed and compared by using ARIMA model Comparative study shows that prediction model containing search volume has high precision, which means the data contains some factors not considered in traditional model The introduction of this variable is beneficial to improving the prediction precision of the model, providing more accurate results for the product or service market decision-making

Key words: Internet search volume, Baidu index, asset size of Yu’e Bao, prediction model

中图分类号:

张爱华, 韩怡嘉. 基于互联网搜索信息的预测模型研究——以余额宝产品需求为例[J]. 北京邮电大学学报(社会科学版), 2015, 17(3): 36-41.

ZHANG Ai-hua, HAN Yi-jia. Prediction Model Based on Internet Search Information ——Taking Yu’e Bao Product Demand as an Example[J]. Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition), 2015, 17(3): 36-41.

[1]	张爱华,刘力. 基于搜索量的消费品需求预测研究[J]. 北京邮电大学学报(社科版), 2019, 21(4): 56-62.
[2]	杨天剑1，雒晶慧1，伍娟2. 电信运营商采购需求预测模型及案例研究[J]. 北京邮电大学学报(社科版), 2017, 19(5): 58-66.