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1. WO2020069154 - DATA PROCESSING SYSTEM WITH MACHINE LEARNING ENGINE TO PROVIDE OUTPUT GENERATION FUNCTIONS

Publication Number WO/2020/069154
Publication Date 02.04.2020
International Application No. PCT/US2019/053192
International Filing Date 26.09.2019
IPC
G06F 3/0481 2013.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
3Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
01Input arrangements or combined input and output arrangements for interaction between user and computer
048Interaction techniques based on graphical user interfaces
0481based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
H04W 88/02 2009.01
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
WWIRELESS COMMUNICATION NETWORKS
88Devices specially adapted for wireless communication networks, e.g. terminals, base stations or access point devices
02Terminal devices
CPC
A61B 5/024
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Detecting, measuring or recording for diagnostic purposes
02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
024Detecting, measuring or recording pulse rate or heart rate
G06F 21/31
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
21Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
30Authentication, i.e. establishing the identity or authorisation of security principals
31User authentication
G06F 21/32
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
21Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
30Authentication, i.e. establishing the identity or authorisation of security principals
31User authentication
32using biometric data, e.g. fingerprints, iris scans or voiceprints
G06N 20/00
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
G06Q 30/0222
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
QDATA 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
30Commerce, e.g. shopping or e-commerce
02Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
0207Discounts or incentives, e.g. coupons, rebates, offers or upsales
0222During e-commerce, i.e. online transactions
G06Q 30/0236
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
QDATA 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
30Commerce, e.g. shopping or e-commerce
02Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
0207Discounts or incentives, e.g. coupons, rebates, offers or upsales
0236Incentive or reward received by requiring registration or ID from user
Applicants
  • ALLSTATE INSURANCE COMPANY [US]/[US]
Inventors
  • CHINTAKINDI, Sunil
  • GIBSON, Timothy W.
  • HAYES, Howard
  • MADIGAN, Regina
  • ROSANWO, Soton Ayodele
  • JOHNSON, Caleb
  • KODALI, Anuradha
  • LIKHTERMAN, Aleksandr
  • NAINALA, Srinivas
  • ORTIZ-ZABALA, Juan
Agents
  • ALMETER, Elizabeth A.
  • BERGHAMMER, Joseph J.
Priority Data
16/582,49525.09.2019US
16/582,54425.09.2019US
16/582,57925.09.2019US
16/582,61125.09.2019US
62/738,42228.09.2018US
62/738,46028.09.2018US
62/836,11419.04.2019US
62/845,56009.05.2019US
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) DATA PROCESSING SYSTEM WITH MACHINE LEARNING ENGINE TO PROVIDE OUTPUT GENERATION FUNCTIONS
(FR) SYSTÈME DE TRAITEMENT DE DONNÉES COMPORTANT UN MOTEUR D'APPRENTISSAGE AUTOMATIQUE FOURNISSANT DES FONCTIONS DE GÉNÉRATION DE SORTIE
Abstract
(EN)
Methods, computer-readable media, systems, and/or apparatuses for providing offer and insight generation functions are provided. For instance, user input may be received requesting generation of an offer. In response to receiving the request, an application may be transmitted to a device, such as a mobile device of a user. In some examples, the application may be executed by the device and may facilitate establishing a communication session with a third party system, identifying and extracting data from the third party system, and transmitting the extracted data to an entity for evaluation. In some examples, evaluation by the entity may include generating one or more insights, outputs and the like. In some arrangements, the evaluation may be performed using machine learning and, in some examples, may be performed in real-time or near real-time.
(FR)
La présente invention concerne des procédés, des supports lisibles par ordinateur, des systèmes et/ou des appareils permettant de fournir des fonctions de génération d'offre et d'aperçu. Par exemple, le procédé comprend les étapes suivantes : recevoir une entrée utilisateur demandant la génération d'une offre ; en réponse à la réception de la demande, une application est transmise à un dispositif, tel qu'un dispositif mobile d'un utilisateur. Dans certains exemples, l'application peut être exécutée par le dispositif et faciliter l'établissement d'une session de communication avec un système tiers, l'identification et l'extraction de données par le système tiers, et la transmission des données extraites à une entité à des fins d'évaluation. Dans certains exemples, l'évaluation par l'entité consiste à générer un ou plusieurs aperçu(s), sortie(s) et analogue. Dans certains agencements, l'évaluation peut être mise en oeuvre à l'aide d'un apprentissage automatique et, dans certains exemples, peut être mise en oeuvre en temps réel ou quasiment en temps réel.
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