Messaging Content Tagging via Multi-User Visual Elements
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Solution Overview
Problem
Users of messaging applications face inefficiencies in manually linking content items with multiple users, leading to untagged and unlinked content, missed conversations, and increased time consumption in finding relevant users.
Innovation Solution
A system that automatically links content items with visual elements, such as stickers depicting multiple users, to their respective accounts by determining the visual element represents a plurality of users and adding it to the content item, thereby linking it to their accounts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users manually link content items with multiple users, then the content can be properly tagged and linked to relevant users, but it consumes excessive time and effort, leading to inefficiency
Solution Approach 1:
The system enables self-service automated tagging by analyzing visual elements within content items and automatically identifying and linking relevant users without requiring manual intervention. The system serves itself by using AI/ML algorithms to perform user identification and tagging operations autonomously.
Solution Approach 2:
The patent replaces the mechanical manual process of searching for and linking users with an automated computational system. Instead of users manually navigating through contact lists or searching for users, the system uses image recognition and pattern matching algorithms to automatically identify users depicted in visual elements and establish links.
2Ease of operation
If users navigate through extensive information pages to find relevant users for tagging, then they can link content to the correct users, but the process becomes complex and time-consuming
Solution Approach 1:
The system extracts the essential identifying features from visual elements (such as faces, avatars, or distinctive visual characteristics) and uses these extracted features to identify users. This extraction process eliminates the need for users to navigate through extensive information pages, as the system directly identifies users based on visual content analysis.
Solution Approach 2:
The patent introduces an intermediary automated tagging system that mediates between the content item and the user database. Instead of directly requiring users to search and select from extensive user information pages, the intermediary system automatically performs the matching and linking, simplifying the operation while managing the complexity behind the scenes.
3Extent of automation
If visual elements representing multiple users are automatically detected and linked, then tagging efficiency improves, but the system requires advanced image recognition and processing capabilities
Solution Approach 1:
The patent implements a multi-functional automated tagging system that can handle various types of visual elements (photos, videos, stickers, memes) and different user identification methods (face recognition, avatar matching, text analysis). This universal approach consolidates multiple functions into a single system, achieving high automation while managing complexity through integrated design.
Solution Approach 2:
The system performs preliminary actions by pre-processing and analyzing visual elements as they are uploaded or created, preparing user identification data in advance. This preliminary analysis includes extracting visual features, comparing against user databases, and pre-generating tag recommendations, which reduces the computational burden during final tagging operations and enables higher automation levels.
Data Source
AI summary
Aspects of the present disclosure involve a system for tagging content items. The system generates for display, by a messaging application, a content item. The system receives, by the messaging application, input that selects a visual element and determines that the visual element visually represents a plurality of users. The system adds the visual element to the content item. The system, in response to adding the visual element to the content item and based on determining that the visual element represents the plurality of users, links the content item with the visual element to one or more respective accounts on the messaging application of one or more of the plurality of users.