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1. WO2016137781 - SELECTIVE REMINDERS TO COMPLETE INTERRUPTED TASKS

Publication Number WO/2016/137781
Publication Date 01.09.2016
International Application No. PCT/US2016/018079
International Filing Date 16.02.2016
IPC
G06Q 10/06 2012.01
GPHYSICS
06COMPUTING; CALCULATING OR 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
10Administration; Management
06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
G06Q 10/10 2012.01
GPHYSICS
06COMPUTING; CALCULATING OR 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
10Administration; Management
10Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
G08B 21/24 2006.01
GPHYSICS
08SIGNALLING
BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
21Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
18Status alarms
24Reminder alarms, e.g. anti-loss alarms
G08B 31/00 2006.01
GPHYSICS
08SIGNALLING
BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
31Predictive alarm systems characterised by extrapolation or other computation using updated historic data
G06N 5/00 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
5Computer systems using knowledge-based models
G06N 5/04 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
5Computer systems using knowledge-based models
04Inference methods or devices
CPC
G06F 9/461
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
9Arrangements for program control, e.g. control units
06using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
46Multiprogramming arrangements
461Saving or restoring of program or task context
G06N 20/00
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
G06Q 10/06
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
10Administration; Management
06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
G06Q 10/06316
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
10Administration; Management
06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
063Operations research or analysis
0631Resource planning, allocation or scheduling for a business operation
06316Sequencing of tasks or work
G06Q 10/10
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
10Administration; Management
10Office automation, e.g. computer aided management of electronic mail or groupware
G06Q 10/109
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
10Administration; Management
10Office automation, e.g. computer aided management of electronic mail or groupware
109Time management, e.g. calendars, reminders, meetings, time accounting
Applicants
  • GOOGLE INC. [US]/[US]
Inventors
  • SINHA, Siddhartha
Agents
  • HIGDON, Scott
Priority Data
14/629,24223.02.2015US
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) SELECTIVE REMINDERS TO COMPLETE INTERRUPTED TASKS
(FR) RAPPELS SÉLECTIFS POUR ACHEVER DES TÂCHES INTERROMPUES
Abstract
(EN)
Methods, apparatus, systems, and computer-readable media are provided for obtaining user interaction data indicative of interaction by a user with an application executing on a computing device, determining, based on the user interaction data, a likelihood that the user failed to complete a task the user started with the application executing on the computing device, and selectively causing, based on the likelihood, a task-completion reminder to be presented to the user in a manner selected based at least in part on historical reminder consumption.
(FR)
L'invention concerne des procédés, un appareil, des systèmes, et des supports lisibles par ordinateur permettant d'obtenir des données d'interaction d'utilisateur indiquant une interaction d'un utilisateur avec une application s'exécutant sur un dispositif informatique, de déterminer, en fonction des données d'interaction d'utilisateur, une probabilité que l'utilisateur ne soit pas parvenu à achever une tâche qu'il avait commencé au moment où l'application s'exécutait sur le dispositif informatique, et d'amener sélectivement, en fonction de la probabilité, à présenter un rappel d'achèvement de tâche à l'utilisateur d'une manière sélectionnée en fonction au moins en partie d'une consommation de rappels historiques.
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