@inproceedings{10c45d4fd1374d3fa301ca2265b3a18b,
title = "A Dual Layer Regression Model for Cross-border E-commerce Industry Sale and Hot Product Prediction",
abstract = "We introduce a novel regression model for time series forecasting in the cross-border e-commerce domain. In this paper, we present a new regression model for industry sale prediction (ISP) and hot product prediction (HPP) in the cross-border e-commerce domain. E-commerce products contain many attributes which may benefit to the final prediction performance. Based on this assumption, the proposed model employs a novel dual layer regression architecture to improve the generalization by capturing correlation between the historical data and future data, as well as enhancing the relationship of extracted features and target values. Besides, to verify the effectiveness of the proposed model, we establish two cross-border e-commerce datasets about imported lipsticks and shoes. The experimental results demonstrate that our proposed model achieves impressive results compared to a number of competitive baselines and the precision of hot product prediction reached 90\%.",
keywords = "Dual layer architecture, Regression, Time series forecasting",
author = "Wangda Luo and Hang Su and Yuhan Liu and Ruifeng Xu",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 4th International Conference on Cognitive Computing, ICCC 2020, held as part of Services Conference Federation, SCF 2020 ; Conference date: 18-09-2020 Through 20-09-2020",
year = "2020",
doi = "10.1007/978-3-030-59585-2\_5",
language = "英语",
isbn = "9783030595845",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "50--61",
editor = "Yujiu Yang and Lei Yu and Liang-Jie Zhang",
booktitle = "Cognitive Computing – ICCC 2020 - 4th International Conference, Held as Part of the Services Conference Federation, SCF 2020, Proceedings",
address = "德国",
}