Interest Graph Collection via Image Recognition and Relevance Search
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Solution Overview
Problem
Conventional methods for determining user interests are limited by relying on crude self-reporting and indirect indicators, failing to comprehensively and accurately capture ever-changing interests, especially across diverse cultures and languages, and are not intuitive or interactive.
Innovation Solution
An interest graph collection system utilizing image recognition and relevance search to identify and visualize user interests through image components and related elements, allowing users to interactively explore and update their interest graphs using image thumbnails and gestures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional questionnaire methods or profile entry are used to determine user interests, then implementation is simple and direct, but the accuracy and comprehensiveness of capturing user interests is limited and crude
Solution Approach 1:
The patent introduces an image recognition engine as an intermediary between the user and the interest determination system. Instead of directly asking users about their interests through questionnaires, the system uses image recognition to automatically analyze images users interact with, extracting interest information indirectly but accurately through visual content analysis
Solution Approach 2:
The patent replaces the mechanical system of manual questionnaire filling and profile entry with an automated image recognition system. The image recognition engine automatically processes images to determine user interests, eliminating the need for users to manually input information and providing more accurate, behavior-based interest data
2Adaptability or versatility
If social network services use 'Like' buttons to capture user interests, then user participation is encouraged, but the data collected is indirect and does not comprehensively represent actual user interests
Solution Approach 1:
The patent uses image thumbnails as copies or representations of the actual images users interact with. These thumbnails are displayed in the interest graph to visually represent user interests without requiring users to view or interact with the full-sized original images, preserving interest information while enabling efficient visualization
Solution Approach 2:
The patent segments the interest determination process into distinct components: image recognition for extracting objects and concepts, relevance search for finding related elements, and interest graph construction for visualization. This segmentation allows each component to specialize and improve the overall comprehensiveness and accuracy of interest capture
3Measurement precision
If image recognition and relevance search are used to comprehensively capture user interests, then accuracy and comprehensiveness improve, but processing time and computational resources increase
Solution Approach 1:
The patent applies partial action by using image thumbnails instead of full-resolution images for most processing and display operations. Thumbnails require less computational resources and processing time while still effectively capturing the essential visual information needed for interest determination and visualization
Solution Approach 2:
The patent performs preliminary image recognition and extraction of key objects and concepts before constructing the interest graph. By pre-processing images to identify and extract relevant features in advance, the system reduces the computational burden during interest graph construction and updates, improving overall processing efficiency
4Adaptability or versatility
If traditional text-based search is used, then language and cultural barriers exist, but the system is easier to implement without image processing
Solution Approach 1:
The patent makes the system universal by using image recognition as a common language that transcends cultural and linguistic barriers. Images are universally understood across different cultures and languages, allowing the system to capture and represent user interests accurately for diverse user populations without requiring language-specific processing
Solution Approach 2:
The patent introduces image recognition as an intermediary that converts visual information into structured data about user interests. This intermediary layer translates diverse image content into a common format that can be processed and visualized in the interest graph, bridging the gap between diverse cultural expressions and unified interest representation
Data Source
AI summary
A system for comprehensively and effectively acquiring, as an interest graph, targets and regions of interest unique to a user is provided. A system according to the invention is a search system using as input means image information containing various objects and subjects, in which by querying an image recognition engine on the server side via a network about a selected image, the image recognition engine extracts and recognizes in real time various generic objects and the like contained in the specified image, and notifies a relevance search engine on the server side of recognized image components contained in the input image, and the relevance search engine extracts related elements for the individual image components, and visually presents a relevance graph with the extracted related elements as nodes together with the depths of relationships between the nodes.