Demand Detection via Query Image Analysis

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Solution Overview

Problem

Current methods for detecting user demand on online platforms rely on manual analysis of keywords, which is labor-intensive and limited in accurately representing user intent.

Innovation Solution

A demand detection server processes query images using image recognition technology, generates image tags, and analyzes these tags through a knowledge graph to identify query themes, thereby detecting user demand for items not currently offered on the platform.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual analysis of keywords is used to detect user demand, then labor intensity is high, but the accuracy of representing user intent is limited

Engineering Contradiction:

Improveaccuracy of user intent detectionVSAvoidlabor efficiency

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The patent replaces manual keyword analysis with automated image recognition technology. The system uses machine learning models to process query images, extract visual features, and identify user intent automatically, eliminating the need for manual analysis while improving both accuracy and efficiency.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces an intermediate image representation layer between user queries and demand detection. By converting user intents into visual images and then analyzing these images through recognition technology, the system bridges the gap between diverse user expressions and standardized demand categories, improving measurement precision.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Extent of automation

If image recognition technology is used to process query images, then automation is improved, but system complexity increases

Engineering Contradiction:

Improveautomation of demand detectionVSAvoidsystem complexity

Core Design Contradiction:

Extent of automationVSDevice complexity

Solution Approach 1:

The patent divides the complex image processing system into modular components: image generation module, image recognition module, feature extraction module, and demand detection module. Each module performs a specific function, making the overall system more manageable and maintainable while achieving high automation.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent designs the image recognition system to handle multiple types of queries and generate various demand insights using the same core technology platform. The system can process different image types, extract multiple features, and identify diverse user intents, reducing the need for separate specialized systems.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250111643A1Demand detection based on query images

Publication Date: 2025.04.03 ADOBE INC

AI summary

Systems and methods for detecting object demands based on query images are provided. An image tagging module generates multiple image tags for a query image. An image content analyzer module analyzes the multiple query image tags based on a knowledge graph associated with an online platform to create query feature data. A theme identification module identifies one or more query themes based on aggregated query image feature data. A demand analysis module generates demand data indicating user demand for an object corresponding to the query theme by comparing the query theme to catalog data of the online platform.