Interest-Based User Matching via Image Keyword Extraction
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Solution Overview
Problem
Current dating applications face challenges in matching users based on meaningful attributes beyond physical attractiveness, as they often rely on textual profiles that fail to capture nuanced interests and are prone to superficial connections, and users can manipulate profiles to prioritize physical appearance, leading to dissatisfaction and exploitation.
Innovation Solution
A user matching system that processes images to identify keywords representing users' interests, creating a collage-based profile that matches users based on shared interests without displaying physical attractiveness, using object recognition and facial recognition algorithms to prevent inappropriate content and ensure diversity in uploaded images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If dating applications use profile photos that highlight physical features, then user matching is simplified, but connections become superficial and less meaningful
Solution Approach 1:
The patent extracts human faces from uploaded photos using facial recognition technology, preventing photos with faces from being used as profile pictures. This removes the element of physical appearance from the matching process, forcing users to connect based on other attributes represented in their photos (such as hobbies, interests, and activities), thereby maintaining ease of matching while improving connection meaningfulness
Solution Approach 2:
Instead of using photos that show physical features to initiate matching, the patent inverts the approach by using photos that represent user interests and activities. The system processes photos to identify objects and concepts (e.g., golf clubs, cars, video games) and uses these to create user profiles and facilitate matching, reversing the traditional approach from appearance-based to interest-based matching
2Loss of information
If dating applications use textual submissions to determine recommendations, then user interests can be captured, but users can manipulate profiles and connections remain superficial
Solution Approach 1:
The patent uses object recognition technology to automatically analyze and copy visual information from user-uploaded photos. The system identifies objects, scenes, and concepts in photos and generates metadata tags representing user interests. This automated visual analysis creates an authentic representation of user interests without relying on user-submitted text, preventing profile manipulation while accurately capturing user preferences
Solution Approach 2:
The patent replaces the mechanical system of manual text-based profile creation with an automated image processing system. Instead of users writing text descriptions of their interests, the system uses computer vision algorithms to automatically extract interest information from photos users upload, substituting manual textual input with automated visual analysis to prevent manipulation and improve authenticity
3Object-affected harmful factors
If dating applications restrict photo uploads to prevent salacious content, then content quality improves, but users circumvent restrictions
Solution Approach 1:
The patent applies preliminary anti-action by proactively preventing the upload of photos containing human faces before they can be used in the matching process. The facial recognition system detects faces in uploaded photos and automatically rejects them, countering the potential harm of inappropriate content and manipulation before users can exploit the system. This preemptive measure eliminates the need for users to find ways around restrictions
4Device complexity
If dating applications rely on traditional matching algorithms, then implementation is straightforward, but match relevance is low and user time is wasted
Solution Approach 1:
The patent fundamentally changes the parameters used for matching by shifting from appearance-based or simple text-based criteria to interest-based parameters extracted from image content. The system analyzes photos to identify objects and concepts (golf, cars, video games, etc.) and uses these visual features as the basis for matching algorithms, improving match relevance while maintaining implementation feasibility through automated image processing
Data Source
AI summary
Methods, systems, and apparatuses are described herein for providing a user matching system that matches users based on interests represented in images. A user might upload a first image. Based on determining that the image does not contain human faces, the computing device may determine first keywords associated with the first image. The user might be presented a profile of a second user based on a comparison of the first keywords and second keywords associated with the profile of the second user. Those second keywords might also have been determined by processing second images of the profile of the second user. Each user's profile may be represented as a collage of interest images without containing images of the user, thereby preserving privacy and focusing users on non-superficial topics.