WO2007048008A3 - Method and apparatus for retail data mining using pair-wise co-occurrence consistency - Google Patents

Method and apparatus for retail data mining using pair-wise co-occurrence consistency Download PDF

Info

Publication number
WO2007048008A3
WO2007048008A3 PCT/US2006/041188 US2006041188W WO2007048008A3 WO 2007048008 A3 WO2007048008 A3 WO 2007048008A3 US 2006041188 W US2006041188 W US 2006041188W WO 2007048008 A3 WO2007048008 A3 WO 2007048008A3
Authority
WO
WIPO (PCT)
Prior art keywords
peacock
purchase
products
wise
pair
Prior art date
Application number
PCT/US2006/041188
Other languages
French (fr)
Other versions
WO2007048008A2 (en
WO2007048008B1 (en
Inventor
Shailesh Kumar
Edmond D Chow
Michinari Momma
Original Assignee
Fair Isaac Corp
Shailesh Kumar
Edmond D Chow
Michinari Momma
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
Priority claimed from US11/256,386 external-priority patent/US7672865B2/en
Application filed by Fair Isaac Corp, Shailesh Kumar, Edmond D Chow, Michinari Momma filed Critical Fair Isaac Corp
Priority to EP06826419A priority Critical patent/EP1949271A4/en
Publication of WO2007048008A2 publication Critical patent/WO2007048008A2/en
Publication of WO2007048008A3 publication Critical patent/WO2007048008A3/en
Publication of WO2007048008B1 publication Critical patent/WO2007048008B1/en

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • G06Q30/0204Market segmentation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • G06Q30/0202Market predictions or forecasting for commercial activities

Abstract

The invention, referred to herein as PeaCoCk, uses a unique blend of technologies from statistics, information theory, and graph theory to quantify and discover patterns in relationships between entities, such as products and customers, as evidenced by purchase behavior. In contrast to traditional purchase-frequency based market basket analysis techniques, such as association rules which mostly generate obvious and spurious associations, PeaCoCk employs information-theoretic notions of consistency and similarity, which allows robust statistical analysis of the true, statistically significant, and logical associations between products. Therefore, PeaCoCk lends itself to reliable, robust predictive analytics based on purchase-behavior.
PCT/US2006/041188 2005-10-21 2006-10-20 Method and apparatus for retail data mining using pair-wise co-occurrence consistency WO2007048008A2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
EP06826419A EP1949271A4 (en) 2005-10-21 2006-10-20 Method and apparatus for retail data mining using pair-wise co-occurrence consistency

Applications Claiming Priority (6)

Application Number Priority Date Filing Date Title
US11/256,386 2005-10-21
US11/256,386 US7672865B2 (en) 2005-10-21 2005-10-21 Method and apparatus for retail data mining using pair-wise co-occurrence consistency
US11/327,822 US7801843B2 (en) 2005-10-21 2006-01-06 Method and apparatus for recommendation engine using pair-wise co-occurrence consistency
US11/327,822 2006-01-06
US11/355,567 2006-02-15
US11/355,567 US7685021B2 (en) 2005-10-21 2006-02-15 Method and apparatus for initiating a transaction based on a bundle-lattice space of feasible product bundles

Publications (3)

Publication Number Publication Date
WO2007048008A2 WO2007048008A2 (en) 2007-04-26
WO2007048008A3 true WO2007048008A3 (en) 2007-07-12
WO2007048008B1 WO2007048008B1 (en) 2007-09-13

Family

ID=37963360

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2006/041188 WO2007048008A2 (en) 2005-10-21 2006-10-20 Method and apparatus for retail data mining using pair-wise co-occurrence consistency

Country Status (2)

Country Link
EP (1) EP1949271A4 (en)
WO (1) WO2007048008A2 (en)

Families Citing this family (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8914866B2 (en) 2010-01-19 2014-12-16 Envizio, Inc. System and method for user authentication by means of web-enabled personal trusted device
US8738418B2 (en) 2010-03-19 2014-05-27 Visa U.S.A. Inc. Systems and methods to enhance search data with transaction based data
US9471791B2 (en) 2011-08-18 2016-10-18 Thomson Licensing Private decayed sum estimation under continual observation
US9110969B2 (en) 2012-07-25 2015-08-18 Sap Se Association acceleration for transaction databases
EP2738728A1 (en) * 2012-11-29 2014-06-04 Tata Consultancy Services Limited Method and system for conducting a survey
US10373177B2 (en) 2013-02-07 2019-08-06 [24] 7 .ai, Inc. Dynamic prediction of online shopper's intent using a combination of prediction models
US9491031B2 (en) 2014-05-06 2016-11-08 At&T Intellectual Property I, L.P. Devices, methods, and computer readable storage devices for collecting information and sharing information associated with session flows between communication devices and servers
US10475051B2 (en) * 2014-08-26 2019-11-12 Ncr Corporation Shopping pattern recognition
US10528958B2 (en) * 2015-08-18 2020-01-07 Mastercard International Incorporated Systems and methods for generating relationships via a property graph model
US11715111B2 (en) 2018-09-25 2023-08-01 Capital One Services, Llc Machine learning-driven servicing interface
US11373228B2 (en) 2019-01-31 2022-06-28 Walmart Apollo, Llc System and method for determining substitutes for a requested product
US11373231B2 (en) 2019-01-31 2022-06-28 Walmart Apollo, Llc System and method for determining substitutes for a requested product and the order to provide the substitutes
CN110555719B (en) * 2019-07-31 2023-09-29 华南理工大学 Commodity click rate prediction method based on deep learning
CN112507931B (en) * 2020-12-16 2023-12-22 华南理工大学 Deep learning-based information chart sequence detection method and system
CN113763014A (en) * 2021-01-05 2021-12-07 北京沃东天骏信息技术有限公司 Article co-occurrence relation determining method and device and judgment model obtaining method and device
CN113052629B (en) * 2021-03-10 2024-02-13 浙江工商大学 Network user image drawing method based on CECU system intelligent algorithm model
CN113836397A (en) * 2021-09-02 2021-12-24 桂林电子科技大学 Recommendation method for shopping basket personalized feature modeling

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5991735A (en) * 1996-04-26 1999-11-23 Be Free, Inc. Computer program apparatus for determining behavioral profile of a computer user
US6349290B1 (en) * 1998-06-30 2002-02-19 Citibank, N.A. Automated system and method for customized and personalized presentation of products and services of a financial institution
US6640215B1 (en) * 1999-03-15 2003-10-28 Marketswitch Corporation Integral criterion for model training and method of application to targeted marketing optimization
US7047251B2 (en) * 2002-11-22 2006-05-16 Accenture Global Services, Gmbh Standardized customer application and record for inputting customer data into analytic models

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5991735A (en) * 1996-04-26 1999-11-23 Be Free, Inc. Computer program apparatus for determining behavioral profile of a computer user
US6349290B1 (en) * 1998-06-30 2002-02-19 Citibank, N.A. Automated system and method for customized and personalized presentation of products and services of a financial institution
US6640215B1 (en) * 1999-03-15 2003-10-28 Marketswitch Corporation Integral criterion for model training and method of application to targeted marketing optimization
US7047251B2 (en) * 2002-11-22 2006-05-16 Accenture Global Services, Gmbh Standardized customer application and record for inputting customer data into analytic models

Also Published As

Publication number Publication date
EP1949271A4 (en) 2011-08-03
WO2007048008A2 (en) 2007-04-26
EP1949271A2 (en) 2008-07-30
WO2007048008B1 (en) 2007-09-13

Similar Documents

Publication Publication Date Title
WO2007048008A3 (en) Method and apparatus for retail data mining using pair-wise co-occurrence consistency
Dai et al. On the trade-diversion effects of free trade agreements
WO2007002729A3 (en) Method and system for predicting consumer behavior
WO2006127470A3 (en) Detecting and tracking advertisements
WO2006081039A3 (en) Registering potential acquirers of assets that are not currently on the market
WO2008042954A3 (en) Sales opportunity explorer
Kamakura Sequential market basket analysis
WO2010141270A3 (en) Systems and methods to summarize transaction data
WO2010129571A3 (en) Demographic analysis using time-based consumer transaction histories
WO2012177794A3 (en) Identifying information related to a particular entity from electronic sources, using dimensional reduction and quantum clustering
WO2007059436A3 (en) Method and apparatus for profiling a potential offender of a criminal incident
WO2006088763A8 (en) Method and system for reporting and processing information relating to railroad assets
WO2007057800A3 (en) Method of generating and methods of filtering a user profile
WO2008102825A1 (en) Method of classifying genes based on gene expression pattern
WO2004053729A3 (en) Systems, methods, and computer program products to modify the graphical display of data entities and relational database structures
Yadav et al. Relationship marketing research (1983–2012): An academic review and classification
WO2007081591A3 (en) Method and apparatus for identifying related media across playback platforms
Mehta Basics of Data Mining: A Survey Paper
진창범 et al. A Study on Trade Area Analysis with the Use of Modified Probability Model
Fife et al. Solving Real-World Problems through Capstone
Batraga et al. CONSUMER BEHAVIOUR IN BUYING DECISION-MAKING PROCESS IN NON-PRESCRIPTION DRUG MARKET
Stei et al. Social media in business-to-business sales relationships: an empirical analysis
Busuttil Evaluating the effectiveness of different communication channels for market basket analysis
KR20170006913A (en) Target marketing using big-data
Krishnan et al. Detection of Review Manipulation

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application
NENP Non-entry into the national phase

Ref country code: DE

WWE Wipo information: entry into national phase

Ref document number: 2006826419

Country of ref document: EP