Instant Messaging Chat Repository Topic Tagging and Filtering
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Solution Overview
Problem
Current instant messaging (IM) systems lack efficient topic-based filtering and searching capabilities, restricting access to chat transcripts and metadata, leading to inefficiencies in knowledge sharing and compliance with regulatory requirements, especially in organizations where chat history is not uniformly saved or searchable across users and systems.
Innovation Solution
A system comprising an IM Topic program for assigning topic tags, an IM Filter program for searching based on user-selected filters and full text, and an IM automatic alert program for exporting relevant transcripts, allowing for structured chat storage and retrieval by topic or participant filters, enabling automatic saving and notification of specific chat content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If chat transcripts are stored in a common repository, then knowledge sharing and compliance are improved, but search efficiency and topic-based filtering are worsened
Solution Approach 1:
The patent segments chat transcripts by assigning topic tags to different portions of chat content. Each chat message or segment can be associated with one or more topics, allowing the repository to organize information thematically. This segmentation enables efficient topic-based filtering and searching without losing the ability to share knowledge across the organization.
Solution Approach 2:
The patent introduces topic tags as an intermediary layer between the raw chat transcripts and the search/filtering mechanisms. These tags act as metadata that mediate between the stored information and user queries, enabling efficient retrieval based on topics without requiring full-text search of entire chat histories.
2Reliability
If all chat transcripts are saved uniformly, then compliance is improved, but storage efficiency and retrieval speed are worsened
Solution Approach 1:
The patent applies local quality by allowing different portions of chat transcripts to be tagged with different topics based on their content. This enables selective organization where only relevant segments are associated with specific topics, improving retrieval speed while maintaining compliance through complete storage of all chat data.
Solution Approach 2:
The patent changes the parameter organization from uniform storage to topic-based metadata tagging. By adding topic tags as an additional parameter dimension, the system maintains complete chat transcripts for compliance while enabling fast retrieval through topic filtering without requiring full-text search.
3Productivity
If topic-based filtering is implemented, then knowledge management is improved, but system complexity is worsened
Solution Approach 1:
The patent implements self-service by enabling users to automatically tag chat segments with topics based on predefined criteria or automated classification. This reduces the manual overhead of topic assignment while still providing efficient knowledge management capabilities through topic-based filtering and searching.
Data Source
AI summary
A system and method for storing IM text in a repository where it can be searched by topic or participant based filters is disclosed. The repository may be a centralized database on the server side or it may be distributed in the client environment. The system comprises an IM Topic (IMT) program, an IM Filter (IMF) program, an IM save program (IMS), and an IM automatic alert (IMAL) program. The IMT program assigns topic tags to turns and topic shifts in the IM conversation. The IMF program searches the repository based on user selection of filters as well as full text search. There may be any number of topic tags. The IMS program automatically scans IM transcripts for topic tags and identifiers and saves transcripts or transcript segments that match pre-selected topic tags or identifiers to the repository. The IMAL program sends notifications and/or exports transcripts or transcript segments to pre-designated addresses when a match is made between a topic or identifier in a transcript and a pre-selected topic or identifier.