Value-Based Content Provision Using Search Query Affinity

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Solution Overview

Problem

Existing content provision technologies lack effective support for providing content that aligns with user values and preferences, leading to suboptimal user engagement.

Innovation Solution

An information processing apparatus that estimates user values, specifies search queries with high affinity to these values, and provides content based on these queries to enhance targeted content delivery.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional content provision technology is used, then content can be provided to users, but the content does not effectively align with user values and preferences

Engineering Contradiction:

Improvealignment between content and user valuesVSAvoiduser engagement effectiveness

Core Design Contradiction:

Measurement precisionVSLoss of information

Solution Approach 1:

The system performs preliminary actions by estimating user values before content provision, analyzing user information and behavior patterns in advance to determine value orientations, and preparing targeted content recommendations based on these pre-established value profiles, thereby improving content-user alignment

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms by continuously analyzing user responses to provided content, comparing actual user engagement with predicted engagement based on value alignment, and using this feedback to refine and update user value estimates for more accurate future content recommendations

Inventive Principle:

Principle #23Feedback

2Measurement precision

If user values are estimated and analyzed, then content alignment improves, but system complexity increases

Engineering Contradiction:

Improvecontent-user value alignmentVSAvoidinformation processing system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments the complex task of content recommendation into distinct functional modules: a user information acquisition module that collects user data, a value estimation module that analyzes behavior patterns, a content matching module that aligns content with estimated values, and a provision module that delivers content, thereby managing complexity through functional decomposition

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system introduces an intermediary value estimation mechanism that acts as a mediator between raw user data and content selection, translating user behavior patterns into value orientations that bridge the gap between user characteristics and content attributes, simplifying the overall matching process

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20250390537A1Information processing apparatus, information processing method, and information processing program

Publication Date: 2025.12.25 LY CORP

AI summary

An information processing apparatus according to the present application includes an estimation unit that estimates values of each user of a user group satisfying a predetermined user condition, a specifying unit that specifies a search query having high affinity with values satisfying a predetermined values condition among the estimated values among search queries input in the past, and a provision unit that provides content based on the specified search query.