Intelligent Messaging Flow Markers for Efficient Content Retrieval
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Solution Overview
Problem
Current messaging systems face challenges in efficiently searching and retrieving specific content from lengthy messaging sessions, leading to excessive data storage usage and overburdened processing resources.
Innovation Solution
A system and method that utilize intelligent messaging flow markers based on language data, where client devices determine identifiers and marker names for message portions, storing these associations in an index for quick retrieval, allowing users to efficiently navigate and reference specific message segments using explicit or implicit markers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the entire messaging session is stored and searched, then complete content availability is achieved, but data storage space and processing resources are excessively consumed
Solution Approach 1:
The patent extracts only the essential elements (markers with identifiers and associations) from the complete messaging session content. Instead of storing and searching entire messages, the system stores compact marker representations that reference specific message portions, dramatically reducing storage requirements while maintaining search capability.
Solution Approach 2:
The system creates simplified copies of messaging content in the form of markers and indices. These marker copies contain just enough information (identifiers, associations, keywords) to enable efficient retrieval without requiring storage of the full original message content.
2Loss of information
If the entire messaging session is searched, then comprehensive content search is achieved, but processing resources are overburdened
Solution Approach 1:
The patent segments the messaging session into discrete, indexable units marked by markers. Each marker represents a specific message portion and contains an identifier and associations that enable targeted retrieval. This segmentation transforms a monolithic search problem into a series of targeted lookups against compact marker indices.
Solution Approach 2:
The system performs preliminary action by pre-processing messaging content to generate markers, identifiers, and associations during or immediately after the messaging session. This pre-computation creates an optimized index structure that enables rapid search operations without requiring intensive processing during actual search queries.
3Device complexity
If manual navigation through lengthy messages is used, then no additional processing is required, but user time and efficiency are significantly reduced
Solution Approach 1:
The patent introduces markers as intermediary elements between users and messaging content. These markers serve as navigational aids that directly reference specific message portions, allowing users to jump to relevant content instantly without manual scrolling. The markers act as mediators that bridge the gap between user search intent and message content location.
Data Source
AI summary
Some aspects disclosed herein are directed to, for example, a system and method comprising a client device receiving an input of at least a portion of a message. The client device may transmit, to a server device, the at least the portion of the message for display via a second client device. The client device may determine an identifier for the at least the portion of the message. The client device may determine, based on a lexicon, a marker name for the at least the portion of the message. The client device may generate an association between the marker name for the at least the portion of the message and the identifier for the at least the portion of the message. The client device may store, at a storage location, the marker name for the at least the portion of the message, the identifier for the at least the portion of the message, and the association between the marker name for the at least the portion of the message and the identifier for the at least the portion of the message.


