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1. (WO2017093953) METHOD AND SYSTEM FOR PURCHASE BEHAVIOR PREDICTION OF CUSTOMERS
Latest bibliographic data on file with the International Bureau

Pub. No.: WO/2017/093953 International Application No.: PCT/IB2016/057292
Publication Date: 08.06.2017 International Filing Date: 02.12.2016
IPC:
G06F 15/18 (2006.01) ,G06Q 30/06 (2012.01)
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
F
ELECTRIC DIGITAL DATA PROCESSING
15
Digital computers in general; Data processing equipment in general
18
in which a programme is changed according to experience gained by the computer itself during a complete run; Learning machines
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
Q
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
30
Commerce, e.g. shopping or e-commerce
06
Buying, selling or leasing transactions
Applicants:
TATA CONSULTANCY SERVICES LIMITED [IN/IN]; Nirmal Building, 9th Floor, Nariman Point Maharashtra 400021 Mumbai, IN
Inventors:
MALHOTRA, Pankaj; IN
ANAND, Gaurangi; IN
KAZMI, Auon Haidar; IN
VIG, Lovekesh; IN
AGARWAL, Puneet; IN
SHROFF, Gautam; IN
Agent:
KOSHAL, Amit; IN
BHAT, Raghavendra; IN
Priority Data:
4550/MUM/201502.12.2015IN
Title (EN) METHOD AND SYSTEM FOR PURCHASE BEHAVIOR PREDICTION OF CUSTOMERS
(FR) PROCÉDÉ ET SYSTÈME DE PRÉDICTION DE COMPORTEMENT D'ACHAT DE CLIENTS
Abstract:
(EN) A method and a system to enable customer behavior prediction are disclosed. Temporal and aggregate features with respect to purchases made by a customer are extracted from purchase history of customers. Further, temporal and aggregate models are generated corresponding to the features extracted, wherein the temporal and aggregate models are data of a first type and data of a second type respectively. Further, a Mixture of Experts (ME) is used to process the temporal and aggregate models that are of different types of data, to build a combined model, and purchase behavior of the customer is identified based on the combined model.
(FR) La présente invention concerne un procédé et un système conçus pour permettre une prédiction de comportement de client. Le procédé peut comprendre les étapes consistant à : extraire d'un historique des achats des clients des caractéristiques globales et temporelles relatives à des achats effectués par un client ; générer des modèles global et temporel correspondant aux caractéristiques extraites, les modèles global et temporel étant respectivement des données d'un premier type et des données d'un second type ; utiliser un mélange d'experts (ME) pour traiter les modèles global et temporel, qui sont constitués de types de données différents, de façon à construire un modèle combiné ; et identifier un comportement d'achat du client sur la base du modèle combiné.
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Designated States: AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JP, KE, KG, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW
African Regional Intellectual Property Organization (ARIPO) (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Organization (AM, AZ, BY, KG, KZ, RU, TJ, TM)
European Patent Office (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR)
African Intellectual Property Organization (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG)
Publication Language: English (EN)
Filing Language: English (EN)
Also published as:
CA3007338AU2016362126EP3384399US20180365715BR112018011359