A New Feature Based Deep Attention Sales Forecasting Model for Enterprise Sustainable Development

doi:10.3390/su141912224

	A New Feature Based Deep Attention Sales Forecasting Model for Enterprise Sustainable Development
	Huang, Jian 1; Chen, Qinyu 2; Yu, Chengqing 3
	2022-10-01
发表期刊	SUSTAINABILITY
卷号	14 期号:19 页码:18
摘要	In recent years, with the rise of the Internet, e-commerce has become an important field of commodity sales. However, e-commerce is affected by many factors, and the wrong judgment of supply and marketing relationships will bring huge losses to operators. Therefore, it is of great significance to establish a model that can effectively achieve high precision sales prediction for ensuring the sustainable development of e-commerce enterprises. In this paper, we propose an e-commerce sales forecasting model that considers the features of many aspects of correlation. In the first layer of the model, the temporal convolutional network (TCN) is used to extract the deep temporal characteristics of univariate sales historical data, which ensures the integrity of temporal information of sales characteristics. In the second layer, the feature selection method based on reinforcement learning is used to filter the effective correlation feature set and combine it with the temporal feature after processing, which not only improves the amount of effective information input by the model, but also avoids the high feature dimension. The third layer of the reformer model learns all the features and pays different attention to the features with different degrees of importance, ensuring the stability of the sales forecast. In the experimental part, we compare the proposed model with the current advanced sales forecasting model, and we can find that the proposed model has higher stability and accuracy.
关键词	enterprise sustainable development E-commerce sales forecasting feature engineering deep learning attention mechanism
DOI	10.3390/su141912224
收录类别	SCI
语种	英语
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
WOS类目	Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS记录号	WOS:000867152400001
出版者	MDPI
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/19785
专题	中国科学院计算技术研究所期刊论文
通讯作者	Yu, Chengqing
作者单位	1.Hunan Ind Polytech, Coll Business & Trade, Changsha 410208, Hunan, Peoples R China 2.Taiyuan Univ Technol, Coll Mech & Vehicle Engn, Taiyuan 030024, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Huang, Jian,Chen, Qinyu,Yu, Chengqing. A New Feature Based Deep Attention Sales Forecasting Model for Enterprise Sustainable Development[J]. SUSTAINABILITY,2022,14(19):18.
APA	Huang, Jian,Chen, Qinyu,&Yu, Chengqing.(2022).A New Feature Based Deep Attention Sales Forecasting Model for Enterprise Sustainable Development.SUSTAINABILITY,14(19),18.
MLA	Huang, Jian,et al."A New Feature Based Deep Attention Sales Forecasting Model for Enterprise Sustainable Development".SUSTAINABILITY 14.19(2022):18.