Message Account User Group Estimation for Targeted Service Proposals

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Solution Overview

Problem

Existing messaging service technologies do not effectively collect user interests or behavior information to provide personalized service information, limiting the ability to target specific user groups for tailored marketing.

Innovation Solution

An information processing apparatus that estimates user groups based on message application usage history, generating personalized service information proposals for business operators using machine learning and vectorization techniques.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If messaging service provides general user interface for transmitting messages, then message transmission functionality is achieved, but user personalization and targeted marketing capability are lost

Engineering Contradiction:

Improveuser personalization capabilityVSAvoiduser interests and behavior information

Core Design Contradiction:

Adaptability or versatilityVSLoss of information

Solution Approach 1:

The patent segments users into distinct groups based on their usage history, interests, and behavior patterns. By dividing the user base into personalized segments, the system can deliver tailored service information and advertisements to each group, thereby achieving user personalization while effectively utilizing user information for targeted marketing.

Inventive Principle:

Principle #1Segmentation

2Adaptability or versatility

If messaging service collects user usage history, then personalized service information can be provided, but system complexity increases

Engineering Contradiction:

Improvepersonalized service information capabilityVSAvoidinformation processing system complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces an intermediary component that processes user usage history and generates personalized service information. This intermediary layer handles the complex analysis of user behavior data and transforms it into actionable insights, thereby enabling personalization without significantly increasing the overall system complexity for end users.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Quantity of substance

If messaging service transmits general advertisements to all users, then advertising coverage is maximized, but marketing effectiveness decreases

Engineering Contradiction:

Improveadvertising reachVSAvoidmarketing targeting accuracy

Core Design Contradiction:

Quantity of substanceVSMeasurement precision

Solution Approach 1:

The patent applies local quality by delivering different advertising content to different user groups based on their specific characteristics and preferences. Instead of uniform advertising, the system tailors advertisements to match the interests and behavior patterns of each user segment, thereby improving marketing targeting accuracy while maintaining effective advertising reach across diverse user populations.

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS20260073415A1Information processing apparatus, information processing method, and non-transitory computer readable storage medium

Publication Date: 2026.03.12 LY CORP

AI summary

An information processing apparatus according to the present application includes an estimation unit and a proposal unit, the estimation unit estimates a user group corresponding to a predetermined account in a message application based on usage history of a user in the message application, and the proposal unit proposes information regarding the estimated user group to a business operator who operates the predetermined account.