2019 VOL.2 Jun No.3

• Title: Cross-border e-commerce shopping guide big data intelligent collection method considering user demand
• Name: Dick Bartholomew
• Company: Ngee An Polytechnic
• Abstract:

  The current cross-border e-commerce shopping guide is unknown due to online purchases, and the distance is far away. Many considerations for merchants to treat users are not enough. Based on this, a cross-border e-commerce shopping guide big data intelligent collection method considering user needs is proposed. Through the mobile port of big data to collect and explore the online social retail collection method of big data, it focuses on promoting the way of big data in intelligent collection, and promotes the cross-border e-commerce shopping guide big data to better carry out commodity circulation around user needs. Experiments show that the big data collection method studied in this paper can better combine user needs and merchant profit, and help to improve user experience.

• Keyword: user demand; cross-border e-commerce shopping guide; big data; intelligent acquisition; optimization;
• DOI: 10.12250/jpciams2019030122
• Citation form: Dick Bartholomew.Cross-border e-commerce shopping guide big data intelligent collection method considering user demand[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 50-55.

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