Context-Based Predictive Content Tagging for Encrypted Multimodal Data
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Solution Overview
Problem
Current communication technologies fail to seamlessly thread messages across multiple communication formats and protocols, leading to fragmented user experiences and inefficiencies in searching and archiving conversations.
Innovation Solution
A multi-format, multi-protocol communication threading system that uses semantic and predictive analysis to associate messages across different formats and protocols, allowing users to view all related messages in a unified feed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If messages are stored in separate silos by communication format or protocol, then each communication system can maintain its own data integrity and security, but users cannot search across multiple communications in multiple formats or protocols and conversations remain fragmented
Solution Approach 1:
The patent introduces a centralized communications server as an intermediary that receives, stores, and manages messages from multiple communication formats and protocols. This server acts as a mediator between different communication systems (email, SMS, IM, etc.) and user devices, enabling unified search and threading capabilities without requiring changes to the underlying communication protocols. The server maintains message associations and provides a unified interface for accessing communications across different formats.
2Ease of operation
If a centralized communications server stores and manages all messages across multiple formats and protocols, then users can search and access all communications in one place, but the system complexity and data management burden increase significantly
Solution Approach 1:
The patent segments the communication system into distinct functional components: a centralized communications server that handles storage and basic management, client devices that provide the user interface and search functionality, and various communication protocol handlers. This segmentation allows the system to manage complexity by distributing responsibilities across multiple components rather than concentrating all data management functions in a single complex system.
Solution Approach 2:
The centralized communications server is designed with multi-functionality to handle various communication formats and protocols through a unified interface. It can store, retrieve, and manage messages from different sources (email, SMS, instant messaging, etc.) using the same data structures and access methods, eliminating the need for separate management systems for each communication type.
3Measurement precision
If the system threads messages across multiple formats and protocols using semantic matching and element-matching, then message associations become more accurate and relevant, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-processing and indexing messages as they are received on the centralized communications server. Messages are tagged with metadata, keywords, and association identifiers in advance, so that when a user performs a search or requests message threading, the system can quickly retrieve and associate messages using pre-computed data rather than performing complex semantic analysis in real-time.
Data Source
AI summary
This disclosure relates to systems, methods, and computer readable media for performing multi-format, multi-protocol message threading in a way that is most beneficial for the individual user. Users desire a system that will provide for ease of message threading by “stitching” together related communications in a manner that is seamless from the user's perspective. Such stitching together of communications across multiple formats and protocols may occur, e.g., by: 1) direct user action in a centralized communications application (e.g., by a user clicking ‘Reply’ on a particular message); 2) using semantic matching (or other search-style message association techniques); 3) element-matching (e.g., matching on subject lines or senders/recipients/similar quoted text, etc.); and 4) “state-matching” (e.g., associating messages if they are specifically tagged as being related to another message, sender, etc. by a third-party service, e.g., a webmail provider or Instant Messaging (IM) service).