Cross-Platform Messaging Context Aggregation System
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Solution Overview
Problem
Employees face difficulties in locating contextually relevant messages across different communication platforms, such as emails and messaging apps, which can lead to inefficiencies in communication and information retrieval.
Innovation Solution
A system and method that automatically collect and analyze messaging information from various data sources to provide contextual cues, allowing users to quickly determine the context of a message by identifying relevant messages associated with a user across multiple applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If employees manually search through messages across multiple communication platforms to locate contextually relevant information, then they can find the needed information, but it requires significant time and effort
Solution Approach 1:
The system performs preliminary actions by automatically collecting and storing messaging information from multiple data sources (email, SMS, messaging apps) in advance. When a user needs contextual information, the system has already prepared the data by aggregating messages, extracting metadata, and organizing them in a searchable format, eliminating the need for manual searching at the moment of need.
Solution Approach 2:
The patent introduces an intermediary system that sits between multiple communication platforms and the user. This intermediary automatically collects messages from various sources (Outlook, Gmail, Slack, Teams, SMS), processes them by extracting metadata and content, and presents unified search results to the user. This mediator handles the complexity of cross-platform searching, allowing users to query all messages through a single interface without manually accessing each application.
2Adaptability or versatility
If employees use multiple different messaging applications for communication, then they can communicate through preferred channels, but it becomes difficult to locate messages across different platforms
Solution Approach 1:
The system implements universality by creating a unified messaging search interface that works across multiple communication platforms simultaneously. A single search query can retrieve messages from email (Outlook, Gmail), instant messaging (Slack, Teams), and SMS across different devices. The system treats diverse message types and platforms uniformly, allowing users to search all communications through one standardized interface rather than learning separate search methods for each application.
Solution Approach 2:
The patent merges multiple separate messaging systems into a unified search experience. It combines data from various platforms (email servers, messaging apps, SMS gateways) into a single searchable index. The system consolidates message metadata, content, and contextual information from different sources, presenting them as integrated search results. This merging allows users to access communications from multiple platforms without needing to switch between applications or learn platform-specific search procedures.
Data Source
AI summary
In one aspect, an example methodology implementing the disclosed techniques can include, by a computing device, responsive to a request for information regarding messages associated with a user and another user, a message associated with the user and the another user, the message sent or received via an application from a plurality of applications. The method can also include, by the computing device, identifying one or more other messages associated with the user and the another user based on metadata of the message, at least one of the one or more other messages sent or received via another application of the plurality of applications, the another application being different than the application. The method can further include, by the computing device, outputting information regarding the one or more other messages.