Messaging App AR Content Ranking by Contact Signals
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Solution Overview
Problem
Messaging applications lack an effective method to rank and display augmented reality content based on user relationships and interactions, leading to suboptimal user engagement and content relevance.
Innovation Solution
A messaging system that ranks augmented reality content items by analyzing signals related to user interactions and relationships, such as message frequency and recency, to automatically select and display the highest-ranked content with captured images, using a carousel interface for user selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If augmented reality content is displayed without ranking based on user relationships, then the system is simpler to implement, but user engagement and content relevance deteriorate
Solution Approach 1:
The system pre-calculates and stores relationship signals (message frequency, recency, affinity scores) between users before AR content selection is needed. This preliminary computation of user relationship metrics allows the system to quickly rank and select relevant AR content without complex real-time analysis, resolving the contradiction between content relevance and system complexity
Solution Approach 2:
The system automatically selects and ranks AR content based on user relationship data without requiring manual user input or configuration. The messaging application autonomously computes relevance scores and presents the highest-ranked content, eliminating the need for complex user-side configuration while maintaining high content relevance
2Adaptability or versatility
If multiple augmented reality content items are displayed without ranking, then more content options are available, but user selection becomes more difficult
Solution Approach 1:
The system segments AR content into ranked tiers based on user relationship relevance, presenting the most relevant content first and organizing additional content in a structured carousel interface. This segmentation allows users to access diverse content options while the ranking system highlights the most relevant choices, resolving the contradiction between content variety and selection ease
Solution Approach 2:
The system dynamically adjusts the display of AR content based on user interactions and relationship data, re-ranking content in real-time as users provide feedback or as relationship signals change. This dynamic reordering maintains ease of selection by always presenting the most relevant content first while preserving access to a variety of content options through the carousel interface
Data Source
AI summary
Aspects of the present disclosure involve ranking augmented reality content. The program and method provide for receiving, by a messaging application, a request from a first user to compose a message for sending to a preselected second user, the message being configured to include an image captured by a device camera, the first user and the second user corresponding to contacts in the messaging application; determining, in response to receiving the request, a ranking for a plurality of augmented reality content items configured to be displayed with the image, the ranking being based on at least one signal that relates the first user to the second user; and displaying, based on the ranking, the image with a user interface comprising multiple icons, each icon being user-selectable to display a respective one of the plurality of augmented reality content items with the image.


