Messaging Activity Metadata Sharing via Data Service
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing messaging systems fail to effectively facilitate content discovery among users in close relationships, such as friends, family, or colleagues, and are limited in advertising effectiveness due to user indifference and lack of targeted content recommendations.
Innovation Solution
The system shares activity metadata among users engaged in a messaging session, providing user interface elements that allow access to content or applications associated with the metadata, enabling users to discover and interact with each other's activities, and includes features to prevent notifications when users are unavailable.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If advertisement messages are sent to users via text messaging services, then organizations can promote content and applications, but users typically ignore these advertisements and experience advertisement fatigue
Solution Approach 1:
The system implements feedback mechanisms by monitoring user interactions with shared content and using this information to refine future content sharing recommendations. Activity metadata including engagement metrics is collected and fed back into the system to improve targeting and reduce irrelevant advertisements.
Solution Approach 2:
The patent introduces activity metadata and user relationship information as intermediaries between advertisers and users. Instead of direct advertising, the system uses trusted social connections and contextual activity data to indirectly promote content, making recommendations more acceptable to users.
2Productivity
If users receive content recommendations from strangers or unrelated sources, then diverse content can be discovered, but recommendations from family, friends, or colleagues are more effective due to trusted relationships
Solution Approach 1:
The system applies local quality by tailoring content sharing recommendations to specific user relationships and contexts. Different users receive different content based on their relationship to the activity participant and their individual preferences, rather than a uniform approach to all users.
Solution Approach 2:
The patent changes parameters such as user relationship type, activity context, and engagement history to dynamically adjust content sharing recommendations. These parameter variations enable the system to optimize between trusted sources and diverse content discovery.
3Productivity
If activity metadata is shared among all users in a messaging session, then content discovery is enhanced, but user privacy and availability preferences must be respected
Solution Approach 1:
The system performs preliminary actions by obtaining user consent and configuring sharing preferences before activity metadata is shared. Users pre-configure which activities and information they are comfortable sharing with their contacts, and these preferences are enforced before any data exposure occurs.
Solution Approach 2:
The patent segments activity metadata sharing by user relationships and activity types. Not all users receive all activity information - instead, sharing is divided into segments based on relationship closeness, activity sensitivity, and user preferences, allowing selective disclosure that protects privacy while enabling discovery.
Data Source
AI summary
Systems and methods are provided for sharing activity information of devices engaged in a messaging session. In operation, the devices provide activity and sharing preference information to a data service. Thereafter, the data service generates notifications for the devices based on the activity, sharing preference, and device information, wherein the notifications include a payload with instructions for messaging clients at the devices to present user interface elements that allow users to access content and applications associated with other users in the messaging session.