ZA202205541B - Customer segmentation method of e-commerce platform based on weighted rfm model - Google Patents

Customer segmentation method of e-commerce platform based on weighted rfm model

Info

Publication number
ZA202205541B
ZA202205541B ZA2022/05541A ZA202205541A ZA202205541B ZA 202205541 B ZA202205541 B ZA 202205541B ZA 2022/05541 A ZA2022/05541 A ZA 2022/05541A ZA 202205541 A ZA202205541 A ZA 202205541A ZA 202205541 B ZA202205541 B ZA 202205541B
Authority
ZA
South Africa
Prior art keywords
weighted
segmentation method
platform based
commerce platform
customer segmentation
Prior art date
Application number
ZA2022/05541A
Inventor
Pengfei Li
Chen Wang
Jiaxin Liu
Jianhong Wu
Original Assignee
Xian Univ Of Posts And Telecommunications
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 Xian Univ Of Posts And Telecommunications filed Critical Xian Univ Of Posts And Telecommunications
Publication of ZA202205541B publication Critical patent/ZA202205541B/en

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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
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/21—Design, administration or maintenance of databases
    • G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/23—Clustering techniques
    • G06F18/232—Non-hierarchical techniques
    • G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
    • G06F18/23213—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with fixed number of clusters, e.g. K-means clustering
    • 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Strategic Management (AREA)
  • Development Economics (AREA)
  • Accounting & Taxation (AREA)
  • Human Resources & Organizations (AREA)
  • Data Mining & Analysis (AREA)
  • Finance (AREA)
  • General Physics & Mathematics (AREA)
  • Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Quality & Reliability (AREA)
  • Game Theory and Decision Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Educational Administration (AREA)
  • Databases & Information Systems (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Probability & Statistics with Applications (AREA)
  • Evolutionary Computation (AREA)
  • Operations Research (AREA)
  • Tourism & Hospitality (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
ZA2022/05541A 2020-11-05 2022-05-19 Customer segmentation method of e-commerce platform based on weighted rfm model ZA202205541B (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202011224439.4A CN112232930A (en) 2020-11-05 2020-11-05 E-commerce platform customer segmentation method based on weighted RFM model
PCT/CN2021/128291 WO2022095864A1 (en) 2020-11-05 2021-11-03 E-commerce platform customer segmentation method based on weighted rfm model

Publications (1)

Publication Number Publication Date
ZA202205541B true ZA202205541B (en) 2022-10-26

Family

ID=74122191

Family Applications (1)

Application Number Title Priority Date Filing Date
ZA2022/05541A ZA202205541B (en) 2020-11-05 2022-05-19 Customer segmentation method of e-commerce platform based on weighted rfm model

Country Status (3)

Country Link
CN (1) CN112232930A (en)
WO (1) WO2022095864A1 (en)
ZA (1) ZA202205541B (en)

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112232930A (en) * 2020-11-05 2021-01-15 西安邮电大学 E-commerce platform customer segmentation method based on weighted RFM model
CN113554307B (en) * 2021-07-22 2023-05-26 华侨大学 RFM model-based user grouping method, device and readable medium
CN113781108A (en) * 2021-08-30 2021-12-10 武汉理工大学 E-commerce platform customer segmentation method and device, electronic equipment and storage medium
CN113849730A (en) * 2021-09-06 2021-12-28 北京妙医佳健康科技集团有限公司 Method for layering user value in health management service and corresponding portrait device
CN113793061A (en) * 2021-09-27 2021-12-14 武汉众邦银行股份有限公司 Business bank customer rating method and device integrating analytic hierarchy process (analytic hierarchy process) and RFM
CN113886442B (en) * 2021-09-30 2024-05-17 兰州交通大学 Railway freight customer subdivision method based on RFM model and artificial bee colony algorithm
CN114022194A (en) * 2021-10-26 2022-02-08 共享智能铸造产业创新中心有限公司 Prediction method for platform user loss
CN114547446A (en) * 2022-02-15 2022-05-27 深圳闪回科技有限公司 Order pushing method and system
CN116797253B (en) * 2022-12-13 2024-03-01 乖乖数字科技(苏州)有限公司 Classification management method based on client resources
CN117035948B (en) * 2023-10-10 2024-01-09 山东唐和智能科技有限公司 Task intelligent processing method and system based on big data

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102049166B1 (en) * 2018-02-28 2019-11-26 세종대학교산학협력단 Customer classification method and system using frm and k-means algorithm
CN108776931A (en) * 2018-04-13 2018-11-09 上海琢学科技有限公司 Financial client based on RFM and Canopy is worth loyalty divided method
CN110503446A (en) * 2018-05-16 2019-11-26 江苏天智互联科技股份有限公司 The client segmentation method and decision-making technique of electric business platform based on clustering algorithm
CN112232930A (en) * 2020-11-05 2021-01-15 西安邮电大学 E-commerce platform customer segmentation method based on weighted RFM model

Also Published As

Publication number Publication date
CN112232930A (en) 2021-01-15
WO2022095864A1 (en) 2022-05-12

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