Predictive modeling of consumer financial behavior using...

Data processing: financial – business practice – management – or co – Automated electrical financial or business practice or... – Operations research or analysis

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RE042577

ABSTRACT:
Predictive modeling of consumer financial behavior, including determination of likely responses to particular marketing efforts, is provided by application of consumer transaction data to predictive models associated with merchant segments. The merchant segments are derived from the consumer transaction data based on co-occurrences of merchants in sequences of transactions. Merchant vectors represent specific merchants, and are aligned in a vector space as a function of the degree to which the merchants co-occur more or less frequently than expected. Supervised segmentation is applied to merchant vectors to form the merchant segments. Merchant segment predictive models provide predictions of spending in each merchant segment for any particular consumer, based on previous spending by the consumer. Consumer profiles describe summary statistics of each consumer's spending in the merchant segments, and across merchant segments. The consumer profiles include consumer vectors derived as summary vectors of selected merchants patronized by the consumer. Predictions of consumer behavior are made by applying nearest-neighbor analysis to consumer vectors, thus facilitating the targeting of promotional offers to consumers most likely to respond positively.

REFERENCES:
patent: 4908761 (1990-03-01), Tai
patent: 5201010 (1993-04-01), Deaton et al.
patent: 5299115 (1994-03-01), Fields et al.
patent: 5317507 (1994-05-01), Gallant
patent: 5325298 (1994-06-01), Gallant
patent: 5389773 (1995-02-01), Coutts et al.
patent: 5459656 (1995-10-01), Fields et al.
patent: 5615341 (1997-03-01), Agrawal et al.
patent: 5619709 (1997-04-01), Caid et al.
patent: 5642485 (1997-06-01), Deaton et al.
patent: 5675662 (1997-10-01), Deaton et al.
patent: 5675706 (1997-10-01), Lee et al.
patent: 5675711 (1997-10-01), Kephart et al.
patent: 5704017 (1997-12-01), Heckerman et al.
patent: 5712985 (1998-01-01), Lee et al.
patent: 5754938 (1998-05-01), Herz et al.
patent: 5778362 (1998-07-01), Deerwester
patent: 5819226 (1998-10-01), Gopinathan et al.
patent: 5819258 (1998-10-01), Vaithyanathan et al.
patent: 5832457 (1998-11-01), O'Brien et al.
patent: 5895470 (1999-04-01), Pirolli et al.
patent: 5956693 (1999-09-01), Geerlings
patent: 5974396 (1999-10-01), Anderson et al.
patent: 6026397 (2000-02-01), Sheppard
patent: 6073112 (2000-06-01), Geerlings
patent: 6078893 (2000-06-01), Ouimet et al.
patent: 6134532 (2000-10-01), Lazarus et al.
patent: 6189005 (2001-02-01), Chakrabarti et al.
patent: 6216129 (2001-04-01), Eldering
patent: 6230143 (2001-05-01), Simons et al.
patent: 6263334 (2001-07-01), Fayyad et al.
patent: 6289354 (2001-09-01), Aggarwal et al.
patent: 6327574 (2001-12-01), Kramer et al.
patent: 6338066 (2002-01-01), Martin et al.
patent: 6484149 (2002-11-01), Jammes et al.
patent: 6978249 (2005-12-01), Beyer et al.
patent: 7035855 (2006-04-01), Kilger et al.
patent: 7130808 (2006-10-01), Ranka et al.
patent: 7376618 (2008-05-01), Anderson et al.
patent: 7472072 (2008-12-01), Kowalchuk
patent: 2001/0014868 (2001-08-01), Herz et al.
patent: 2002/0010620 (2002-01-01), Kowalchuk et al.
patent: 2003/0225786 (2003-12-01), Hall et al.
patent: 10-124478 (1998-05-01), None
patent: 11-250094 (1999-09-01), None
patent: 11250094 (1999-09-01), None
patent: WO 00/02138 (2000-01-01), None
patent: WO 0002138 (2000-01-01), None
patent: WO-01/63454 (2001-08-01), None
Official Notice for Preliminary Rejection for Japanese Application 2000-139422, dispatched Jul. 16, 2010.
Sato, Motonori, “Marketing Data Base in Data Warehouse Era, Fundamental of Marketing”, Japan, Computopia, published by Computer Age Corporation, Jan. 1, 1998, vol. 32, No. 376, pp. 77-81.
Chakroborty R, Hanis CI, “Non-Random Sampling in Human Genetics: Estimation of Familial Correlations, Model Testing, and Interpretation,” Jul.-Aug. 1987, Stat Med, Center for Demographic and Population Genetics, UT Graduate School of Biomedical Sciences, Houston (abstract).
Chaturvedi, “A Feature-Based Approach to Market Segmentation via Overlapping K-Centroids Clustering,” Aug. 1997, Journal of Marketing Research.
Communication for European Patent Application 00 109 516.5, mailed Apr. 18, 2006.
Fung, Robert, et al., “Applying Bayesian Networks to Information Retrieval,” Mar. 1995, Communications of the ACM, v38n3, pp. 42-48.
Futia, Carl A; “Rational Expectations in Stationary Linear Models”, Jan. 1981, Econometrica, vol. 49, No. 1, pp. 171.
Heylinghen, Francis, “Collective Intelligence and its Implementation on the Web: Algorithms to Develop a Collective Mental Map”, Oct. 1999, Computational and Mathematical Organization Theory; 5, 3; ABI/INFORM Global, p. 253.
Kobayashi, Mei; Takeda, Koichi; “Information Retrieval on the Web”, Jun. 2000, ACM Computing Surveys, vol. 32, Iss. 2, p. 144, 30 pp., ProQuest ID 68546546.
Kohonen, T., “Improved Versions of Learning Vector Quantization,” 1990, IJCNN, San Diego, pp. 545-550.
Kohonen, T., “Self Organizing Maps,” 1995-1997, Springer, 2.sup.nd Edition, pp. 203-217.
Mikheev, Andrei; “Document Centered Approach to Text Normalization”, 2000, ACM, pp. 136-143.
Office Action for Canadian Application 2,619,667, dated Feb. 1, 2010.
Official Notice for Preliminary Rejection for Japanese Application 2000-139422, dispatch date Dec. 15, 2009.
Phillips Business Information, “HNC System Sheds New Light on Cardholder Profile,” Dec. 7, 1998, Potomac, Card New, vol. 13, No. 23, pp. 4-5.
Saarenvirta, “Data Mining for Direct Mall,” Miller-freeman, DB2 Magazine, vol. 4, No. 1, pp. 40-42, 44-49.
Sadao, Tuchida, “Collection and Analysis of Customer Information,” Hinsitu, Japan, The Japanese Society for Quality Control, Jan. 15, 1992, vol. 22, No. 1, pp. 28-36.
Stewart, George A., “PropheTable Software,” Apr. 1998, Byte, pp. 97-101.
Gedenk et al., “The Role of Retail Promotion in Determining Future Brand Loyalty: Its Effect on Purchase Event Feedback,” Journal of Retailing, vol. 75, 1999, pp. 433 and 459 (whole document included).
Masand et al., “A Comparison of Approaches for Maximizing Business Payoff of Prediction Models,” KDD-96 Proceedings, 1996, pp. 195-201.
Fung, Robert; Del Favero, Brendan; “Applying Bayesian networks to information retrieval”, Mar. 1995, Communications of the ACM, v38n3, pp. 42-48, Dialog 00992279 96-41672.
Chakroborty R, Hanis CL; “Non-random sampling in human genetics: estimation of familial correlations, model testing, and interpretation”, Stat Med, Jul.-Aug. 1987, Center for Demographic and Population Genetics, UT Graduate School of Biomedical Sciences, Houston (abstract).
Fung, Robert, et al., “Applying Bayesian Networks to Information Retrieval,” Mar. 1995, Communications of the ACM, v38n3, pp. 42-48, Dialog 00992279 96-41672.
Kobayashi, Mei, et al., “Information Retrieval on the Web,” Jun. 2000, ACM Computing Surveys, vol. 32, Issue 2, pp. 144-174, ProQuest ID 68546546.

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