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MX2018015434A - Metodo, aparato y medio legible por maquina para medir disponibilidad o receptividad del usuario a las notificaciones. - Google Patents

Metodo, aparato y medio legible por maquina para medir disponibilidad o receptividad del usuario a las notificaciones.

Info

Publication number
MX2018015434A
MX2018015434A MX2018015434A MX2018015434A MX2018015434A MX 2018015434 A MX2018015434 A MX 2018015434A MX 2018015434 A MX2018015434 A MX 2018015434A MX 2018015434 A MX2018015434 A MX 2018015434A MX 2018015434 A MX2018015434 A MX 2018015434A
Authority
MX
Mexico
Prior art keywords
user
indication
receptivity
measure
user interaction
Prior art date
Application number
MX2018015434A
Other languages
English (en)
Inventor
Milosevic Mladen
Len Lee Matthew
Erin SINGH Portia
Original Assignee
Koninklijke Philips Nv
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
Application filed by Koninklijke Philips Nv filed Critical Koninklijke Philips Nv
Publication of MX2018015434A publication Critical patent/MX2018015434A/es

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/54—Presence management, e.g. monitoring or registration for receipt of user log-on information, or the connection status of the users
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/535—Tracking the activity of the user
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/55—Push-based network services
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
    • H04L67/62—Establishing a time schedule for servicing the requests

Landscapes

  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • General Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Software Systems (AREA)
  • Computer Hardware Design (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Evolutionary Computation (AREA)
  • Data Mining & Analysis (AREA)
  • Computing Systems (AREA)
  • Artificial Intelligence (AREA)
  • Information Transfer Between Computers (AREA)
  • Telephonic Communication Services (AREA)
  • User Interface Of Digital Computer (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

Varias modalidades descritas en la presente descripción se relacionan con un método, sistema y medio de almacenamiento legible por máquina no transitorio para determinar un momento oportuno para la interacción del usuario que incluye uno o más de los siguientes: el método que comprende: recibir una solicitud de una aplicación cliente para una indicación de si un usuario está abierto a participar en una interacción de usuario; obtener información de uso acerca de la actividad reciente del usuario en un dispositivo del usuario; aplicar al menos un modelo predictivo entrenado a la información de uso para identificar el estado contextual actual del usuario, en donde el estado contextual actual incluye al menos uno de: una medida de disponibilidad representativa de la capacidad actual del usuario de realizar una acción física asociada con la interacción del usuario, y una medida de receptividad representativa de la capacidad actual del usuario de prestar atención a la interacción de usuario; determinar una indicación de oportunidad basada en el estado contextual del usuario; y proporcionar la indicación de oportunidad a la aplicación cliente.
MX2018015434A 2016-06-23 2017-06-22 Metodo, aparato y medio legible por maquina para medir disponibilidad o receptividad del usuario a las notificaciones. MX2018015434A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201662353601P 2016-06-23 2016-06-23
PCT/EP2017/065468 WO2017220752A1 (en) 2016-06-23 2017-06-22 Method, apparatus and machine readable medium for measuring user availability or receptiveness to notifications

Publications (1)

Publication Number Publication Date
MX2018015434A true MX2018015434A (es) 2019-04-22

Family

ID=59215770

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2018015434A MX2018015434A (es) 2016-06-23 2017-06-22 Metodo, aparato y medio legible por maquina para medir disponibilidad o receptividad del usuario a las notificaciones.

Country Status (7)

Country Link
US (1) US20190253519A1 (es)
EP (1) EP3476103B1 (es)
JP (1) JP6653774B2 (es)
CN (1) CN109314722A (es)
CA (1) CA3028531A1 (es)
MX (1) MX2018015434A (es)
WO (1) WO2017220752A1 (es)

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Publication number Priority date Publication date Assignee Title
US10841364B2 (en) 2017-03-27 2020-11-17 International Business Machines Corporation Using and comparing known and current activity states to determine receptiveness
US11537439B1 (en) 2017-11-22 2022-12-27 Amazon Technologies, Inc. Intelligent compute resource selection for machine learning training jobs
US10621019B1 (en) * 2017-11-22 2020-04-14 Amazon Technologies, Inc. Using a client to manage remote machine learning jobs
US11977958B2 (en) 2017-11-22 2024-05-07 Amazon Technologies, Inc. Network-accessible machine learning model training and hosting system
US11645507B2 (en) * 2018-03-23 2023-05-09 Vmware, Inc. Providing models to client devices
US10826852B2 (en) * 2018-10-31 2020-11-03 Salesforce.Com, Inc. Communication frequency optimization
US11226833B2 (en) * 2018-11-12 2022-01-18 International Business Machines Corporation Determination and initiation of a computing interface for computer-initiated task response
WO2020140078A1 (en) * 2018-12-27 2020-07-02 Magic Leap, Inc. Systems and methods for virtual and augmented reality
IT201900016142A1 (it) * 2019-09-12 2021-03-12 St Microelectronics Srl Sistema e metodo di rilevamento di passi a doppia convalida
CN112929751B (zh) * 2019-12-06 2022-11-18 北京达佳互联信息技术有限公司 用于确定动作执行的系统、方法及终端
US10834219B1 (en) * 2020-01-10 2020-11-10 International Business Machines Corporation Intelligent distribution of push notifications
CN111881399B (zh) * 2020-07-20 2023-10-27 汉海信息技术(上海)有限公司 一种消息推送方法及装置

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7493369B2 (en) * 2001-06-28 2009-02-17 Microsoft Corporation Composable presence and availability services
US7689521B2 (en) * 2001-06-28 2010-03-30 Microsoft Corporation Continuous time bayesian network models for predicting users' presence, activities, and component usage
US7233933B2 (en) * 2001-06-28 2007-06-19 Microsoft Corporation Methods and architecture for cross-device activity monitoring, reasoning, and visualization for providing status and forecasts of a users' presence and availability
WO2013093173A1 (en) * 2011-12-21 2013-06-27 Nokia Corporation A method, an apparatus and a computer software for context recognition
CN102707806B (zh) * 2012-05-18 2015-01-14 北京航空航天大学 一种基于加速度传感器的运动识别方法
JP2013250132A (ja) * 2012-05-31 2013-12-12 Clarion Co Ltd 車載装置、車載情報システム
CN102882936B (zh) * 2012-09-06 2015-11-25 百度在线网络技术（北京）有限公司 云推送的方法、系统和装置
WO2016067765A1 (ja) * 2014-10-27 2016-05-06 ソニー株式会社 情報処理装置、情報処理方法およびコンピュータプログラム
CN105007525A (zh) * 2015-06-09 2015-10-28 济南大学 一种面向智能电视应用的交互情景事件关联智能感知方法
CN105424043B (zh) * 2015-11-02 2018-03-09 北京航空航天大学 一种基于判断机动的运动状态估计方法
CN105513395B (zh) * 2015-11-30 2018-07-20 华南理工大学 一种基于车辆目的地预测的智能信息推送系统和方法

Also Published As

Publication number Publication date
EP3476103B1 (en) 2020-04-15
CA3028531A1 (en) 2017-12-28
JP2019527403A (ja) 2019-09-26
JP6653774B2 (ja) 2020-02-26
EP3476103A1 (en) 2019-05-01
US20190253519A1 (en) 2019-08-15
WO2017220752A1 (en) 2017-12-28
CN109314722A (zh) 2019-02-05

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