计算机工程与应用2018，Vol.54Issue(12)：219-225,7.DOI:10.3778/j.issn.1002-8331.1712-0369
基于融合百度指数的电商订单量组合预测研究
Combination forecasting of e-commerce orders based on integration of Baidu index
摘要
Abstract
Under the explosive growth of e-commerce orders, the ability to apply order-derived data is highly demanded. How to utilize the data for fast and dynamic prediction is the key point of online-shopping behavior study. In order to improve the stability of prediction model, this paper proposes a combination forecasting model based on integration of web search index, which incorporates BP neural network, Adaboost-based BP neural network and Support Vector Machine(SVM). The paper also constructs an index system integrating Baidu index and order-derived information, for the sake of enhancing accuracy. Final contrast experiment results show the effectiveness of using web search indexes as an influence factor of forecasting model.关键词
订单量/百度指数/组合预测Key words
order/Baidu index/combination forecasting分类
信息技术与安全科学引用本文复制引用
王长琼,曹乜蜻,王艳丽,邱杰,刘晓宇..基于融合百度指数的电商订单量组合预测研究[J].计算机工程与应用,2018,54(12):219-225,7.基金项目
武汉理工大学自主创新研究基金(No.175218003). （No.175218003）
