Personalized Notification Timing via User Consumption Pattern Analysis

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Solution Overview

Problem

Existing push notification systems lack personalization and optimization based on user content consumption patterns, leading to inefficient notification delivery times and increased resource usage.

Innovation Solution

A method and system that analyze user consumption records to identify personalized notification times by dividing time periods into block units, matching user usage data, and selecting optimal notification times based on patterns such as peak usage or cluster analysis, ensuring notifications are sent at the most relevant moments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If push notification is sent at fixed or random times, then system complexity is low, but notification effectiveness and user engagement are poor

Engineering Contradiction:

Improvenotification effectivenessVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system performs preliminary analysis of user consumption patterns before determining notification times. By pre-processing user behavior data to identify optimal time windows, the system sends notifications at personally optimized times without requiring complex real-time decision-making, thus improving effectiveness while keeping system complexity manageable

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system utilizes feedback from user consumption records to continuously optimize notification timing. By analyzing historical data on when users consume content and adjusting notification schedules based on these patterns, the system improves notification effectiveness through data-driven personalization without requiring overly complex algorithms

Inventive Principle:

Principle #23Feedback

2Ease of operation

If notification is sent without personalization, then resource usage is low, but user accessibility and convenience are reduced

Engineering Contradiction:

Improveuser accessibilityVSAvoidresource usage

Core Design Contradiction:

Ease of operationVSUse of energy by moving object

Solution Approach 1:

The system segments users into different groups or individuals with personalized notification schedules based on their consumption patterns. By dividing the user base and applying customized timing strategies to each segment rather than using a universal approach, the system improves user accessibility while managing computational resources efficiently through targeted personalization

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system changes the timing parameter of notifications based on user-specific consumption patterns. By dynamically adjusting the notification time parameter for each user based on their behavior data, the system enhances user accessibility and convenience while resource usage increases only minimally compared to fixed-time notifications

Inventive Principle:

Principle #35Parameter changes

3Productivity

If notification time is optimized based on user patterns, then notification delivery effectiveness is improved, but processing time and computational resources increase

Engineering Contradiction:

Improvenotification delivery effectivenessVSAvoidprocessing time

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system performs preliminary analysis of user consumption patterns in advance to establish notification time schedules. By pre-processing user behavior data and determining optimal notification windows before actual notification delivery, the system improves notification effectiveness while minimizing real-time processing requirements

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system applies partial personalization by focusing analysis on key consumption patterns rather than processing all possible user behaviors. By identifying and analyzing only the most relevant consumption indicators, the system achieves effective notification timing optimization without requiring excessive computational resources or processing time

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS10523774B2Method and system for personalizing notification time within contents service

Publication Date: 2019.12.31 NAVER CORP

AI summary

A push notification providing method performed by a computer includes managing, for each unit period, a user use time at which a user consumes content; analyzing a pattern associated with the user use time with respect to the unit period and selecting a personal notification time that is personalized for the user for the unit period based on the pattern; and sending a push notification associated with the content to an electronic device of the user at the selected personal notification time of the unit period corresponding to a point in time at which the push notification is to be sent.