Dynamic Agenda Item Coverage Using Topic Detection

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Solution Overview

Problem

Existing digital communication platforms lack the ability to dynamically predict agenda item coverage during a meeting, requiring manual review and potential human error in determining if agenda items have been addressed, which is time-consuming and prone to inaccuracies.

Innovation Solution

A system that connects to a communication session, receives agenda items and utterances, classifies them as long or short items, uses topic detection models for long items and matching methods for short items to predict coverage, and transmits the status to client devices in real time.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual review is used to determine agenda item coverage, then human judgment can be applied, but it is time-consuming and prone to human error

Engineering Contradiction:

Improveaccuracy of agenda item coverage determinationVSAvoidtime required for manual review

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent replaces the mechanical human review process with an automated computer-based system that uses natural language processing and machine learning algorithms to analyze meeting transcripts and determine agenda item coverage, thereby eliminating human error and time consumption while maintaining or improving accuracy

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service by automatically analyzing meeting content and generating coverage determinations without requiring human intervention, allowing the meeting platform to serve itself in determining agenda item status

Inventive Principle:

Principle #25Self-service

2Productivity

If automated prediction is implemented, then real-time feedback is provided, but system complexity increases

Engineering Contradiction:

Improvespeed of agenda item coverage determinationVSAvoidcomplexity of prediction system

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent segments the agenda item coverage determination process into distinct components: transcript processing module, agenda item analysis module, coverage determination module, and feedback generation module. This segmentation allows each component to be optimized independently and simplifies the overall system architecture while achieving real-time performance

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system implements a universal natural language processing engine that handles multiple agenda items, different meeting types, and various transcript formats through a single unified platform, reducing complexity by avoiding the need for separate specialized systems for each scenario

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS12455914B2Dynamic agenda item coverage prediction

Publication Date: 2025.10.28 ZOOM COMMUNICATIONS INC

AI summary

Methods and systems provide for dynamic prediction of agenda item coverage in a communication session. In one embodiment, the system classifies each agenda item as a long item or a short item; for agenda items classified as long items, extracts one or more topics from the utterances, and uses a topic detection model to predict whether a topic related to each agenda item classified as a long item has been covered; for agenda items classified as short items, applies one or more matching methods to predict whether one or more of the utterances within the sentence threshold cover each agenda item classified as a short item; and transmits, to one or more client devices, a status of the agenda items for the communication session.