WO2017128359A1 - Procédé et système d'analyse de plate-forme de commerce électronique basée sur des mégadonnées - Google Patents

Procédé et système d'analyse de plate-forme de commerce électronique basée sur des mégadonnées Download PDF

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Publication number
WO2017128359A1
WO2017128359A1 PCT/CN2016/072925 CN2016072925W WO2017128359A1 WO 2017128359 A1 WO2017128359 A1 WO 2017128359A1 CN 2016072925 W CN2016072925 W CN 2016072925W WO 2017128359 A1 WO2017128359 A1 WO 2017128359A1
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WO
WIPO (PCT)
Prior art keywords
data
address
shipping address
commerce
merchant
Prior art date
Application number
PCT/CN2016/072925
Other languages
English (en)
Chinese (zh)
Inventor
马岩
Original Assignee
深圳市博信诺达经贸咨询有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 深圳市博信诺达经贸咨询有限公司 filed Critical 深圳市博信诺达经贸咨询有限公司
Priority to PCT/CN2016/072925 priority Critical patent/WO2017128359A1/fr
Priority to CN201680000292.6A priority patent/CN105706136A/zh
Publication of WO2017128359A1 publication Critical patent/WO2017128359A1/fr

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising

Definitions

  • the invention relates to the field of communication and internet of things, in particular to a method and system for analyzing an e-commerce platform based on big data.
  • a method for analyzing an e-commerce platform based on big data is provided, which solves the shortcomings of the prior art that the single data cannot be masked.
  • a method for analyzing an e-commerce platform based on big data comprising the following steps:
  • the method further includes:
  • the method further includes:
  • the merchant's credit rating is lowered.
  • a big data-based e-commerce platform analysis system comprising:
  • the comparison unit is configured to compare the shipping address and the shipping address in the sales data with the shipping address harvesting address of the delivery order number;
  • the shielding unit is used to determine that it is a normal transaction if it is consistent, otherwise it is a single data, and the data is shielded.
  • system further includes:
  • a sending unit configured to send the masked data to the merchant for determination.
  • system further includes:
  • the rating unit is configured to reduce the credit rating of the merchant if the billing data exceeds the set number.
  • the technical solution provided by the specific embodiment of the present invention acquires the sales data of the e-commerce, and compares the shipping address and the receiving address in the sales data with the shipping address harvesting address of the delivery order number, and if they are consistent, the normal transaction is determined. Otherwise, it is a single data, and the data is shielded, so it has the advantage of shielding the data of the single data.
  • FIG. 1 is a flowchart of a method for analyzing an e-commerce platform based on big data according to the present invention
  • FIG. 2 is a structural diagram of an e-commerce platform analysis system based on big data provided by the present invention.
  • FIG. 1 is a flowchart of a method for analyzing an e-commerce platform based on big data according to a first preferred embodiment of the present invention.
  • the method is implemented by an intelligent terminal.
  • the method is as shown in FIG. step:
  • Step S101 Obtain sales data of an e-commerce company
  • Step S102 comparing the shipping address and the shipping address in the sales data with the shipping address harvesting address of the delivery order number;
  • step S103 if it is consistent, it is determined to be a normal transaction, otherwise it is a single data, and the data is shielded.
  • the technical solution provided by the specific embodiment of the present invention acquires the sales data of the e-commerce, and compares the shipping address and the receiving address in the sales data with the shipping address harvesting address of the delivery order number, and if they are consistent, the normal transaction is determined. Otherwise, it is a single data, and the data is shielded, so it has the advantage of shielding the data of the single data.
  • the foregoing method may further include:
  • the foregoing method may further include:
  • the merchant's credit rating is lowered.
  • FIG. 2 is a big data-based e-commerce platform analysis system according to a second preferred embodiment of the present invention.
  • the system includes:
  • the obtaining unit 201 is configured to obtain sales data of the e-commerce
  • the comparing unit 202 is configured to compare the shipping address and the shipping address in the sales data with the shipping address harvesting address of the delivery order number;
  • the masking unit 203 is configured to determine a normal transaction if it is consistent, and otherwise mask the data.
  • the technical solution provided by the specific embodiment of the present invention acquires the sales data of the e-commerce, and compares the shipping address and the receiving address in the sales data with the shipping address harvesting address of the delivery order number, and if they are consistent, the normal transaction is determined. Otherwise, it is a single data, and the data is shielded, so it has the advantage of shielding the data of the single data.
  • the above system may further include:
  • the sending unit 204 is configured to send the masked data to the merchant for determination.
  • the foregoing method may further include:
  • the rating unit 205 is configured to lower the credit rating of the merchant if the billing data exceeds the set number.
  • Computer readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one location to another.
  • a storage medium may be any available media that can be accessed by a computer.
  • the computer readable medium may include random access memory (Random) Access Memory, RAM), Read-Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), Compact Disc Read-Only Memory, CD-ROM, or other optical disc storage, magnetic storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Also. Any connection may suitably be a computer readable medium.
  • a disk and a disc include a compact disc (CD), a laser disc, a compact disc, a digital versatile disc (DVD), a floppy disk, and a Blu-ray disc, wherein the disc is usually magnetically copied, and the disc is The laser is used to optically replicate the data. Combinations of the above should also be included within the scope of the computer readable media.

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  • Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Engineering & Computer Science (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Finance (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

La présente invention concerne un procédé et un système d'analyse de plate-forme de commerce électronique basée sur des mégadonnées. Le procédé comprend les étapes suivantes : acquérir des données de vente d'un marchand de commerce électronique (101) ; comparer l'adresse d'un expéditeur et une adresse de livraison dans les données de vente avec l'adresse d'un expéditeur et une adresse de livraison dans une lettre de route express (102) ; si l'adresse de l'expéditeur et l'adresse de livraison dans les données de vente sont identiques à l'adresse de l'expéditeur et à l'adresse de livraison dans la lettre de route express, déterminer que les données de vente sont des données de transaction normales, sinon, déterminer que les données de vente sont de fausses données de transaction et masquer les données (103). Le système technique fourni par l'invention présente l'avantage de masquer les fausses données de transaction.
PCT/CN2016/072925 2016-01-30 2016-01-30 Procédé et système d'analyse de plate-forme de commerce électronique basée sur des mégadonnées WO2017128359A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
PCT/CN2016/072925 WO2017128359A1 (fr) 2016-01-30 2016-01-30 Procédé et système d'analyse de plate-forme de commerce électronique basée sur des mégadonnées
CN201680000292.6A CN105706136A (zh) 2016-01-30 2016-01-30 基于大数据的电商平台分析方法及系统

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2016/072925 WO2017128359A1 (fr) 2016-01-30 2016-01-30 Procédé et système d'analyse de plate-forme de commerce électronique basée sur des mégadonnées

Publications (1)

Publication Number Publication Date
WO2017128359A1 true WO2017128359A1 (fr) 2017-08-03

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PCT/CN2016/072925 WO2017128359A1 (fr) 2016-01-30 2016-01-30 Procédé et système d'analyse de plate-forme de commerce électronique basée sur des mégadonnées

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Country Link
CN (1) CN105706136A (fr)
WO (1) WO2017128359A1 (fr)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112308352A (zh) * 2019-07-30 2021-02-02 阿里巴巴集团控股有限公司 一种订单识别方法、装置及电子设备
CN112749868A (zh) * 2019-10-31 2021-05-04 北京京东尚科信息技术有限公司 一种数据异常的监控方法和装置
CN115131070A (zh) * 2022-07-12 2022-09-30 浪潮卓数大数据产业发展有限公司 一种在线商品预定量虚标的识别及处理方法及装置

Families Citing this family (4)

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Publication number Priority date Publication date Assignee Title
CN107590666A (zh) * 2017-08-24 2018-01-16 深圳创维－Rgb电子有限公司 一种电器设备的窜货识别方法及系统
CN108717637B (zh) * 2018-03-22 2020-11-17 浙江大学 一种电商安全相关实体的自动挖掘方法及系统
CN109754205A (zh) * 2018-12-14 2019-05-14 北京恒远志成信息服务有限公司 基于大数据平台的人工智能自动拾取系统
CN112116284B (zh) * 2020-03-27 2021-04-13 上海寻梦信息技术有限公司 虚假运单的识别方法、系统、电子设备及存储介质

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CN103514523A (zh) * 2012-06-24 2014-01-15 张钦强 一种新型的运单信息系统以及在快递业务中的应用
CN103793820A (zh) * 2012-10-29 2014-05-14 阿里巴巴集团控股有限公司 一种商品信息的投放方法和装置及系统
CN104424595A (zh) * 2013-09-04 2015-03-18 航天信息股份有限公司 税务监控方法及其系统

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JP2000250980A (ja) * 1999-02-25 2000-09-14 Toshiba Corp 電子商取引装置、電子商取引方法及び電子商取引システム

Patent Citations (3)

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CN103514523A (zh) * 2012-06-24 2014-01-15 张钦强 一种新型的运单信息系统以及在快递业务中的应用
CN103793820A (zh) * 2012-10-29 2014-05-14 阿里巴巴集团控股有限公司 一种商品信息的投放方法和装置及系统
CN104424595A (zh) * 2013-09-04 2015-03-18 航天信息股份有限公司 税务监控方法及其系统

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112308352A (zh) * 2019-07-30 2021-02-02 阿里巴巴集团控股有限公司 一种订单识别方法、装置及电子设备
CN112749868A (zh) * 2019-10-31 2021-05-04 北京京东尚科信息技术有限公司 一种数据异常的监控方法和装置
CN115131070A (zh) * 2022-07-12 2022-09-30 浪潮卓数大数据产业发展有限公司 一种在线商品预定量虚标的识别及处理方法及装置
CN115131070B (zh) * 2022-07-12 2023-07-18 浪潮卓数大数据产业发展有限公司 一种在线商品预定量虚标的识别及处理方法及装置

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Publication number Publication date
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