Task-Action Prediction Engine for Unified Task Management
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional task management systems are limited in their ability to provide integrated and intelligent management of tasks, leading to inefficient task execution and lack of integration with other applications and services.
Innovation Solution
The implementation of a task-action prediction engine within a task management system that predicts task-actions based on task features and intent prediction using machine learning models, enabling proactive execution of predicted actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional task management systems are used, then tasks can be tracked and managed, but the systems lack integration with other applications and services, leading to inefficient computing operations
Solution Approach 1:
The patent merges the task management system with other productivity applications and services within the cloud-based suite, allowing tasks to be created, tracked, and managed across multiple applications (Word, Excel, PowerPoint, Outlook, OneNote) through a unified task management interface, thereby improving both integration capability and computing operation efficiency
Solution Approach 2:
The task management system is designed as a universal platform that can manage tasks from various sources and contexts (emails, documents, meetings, to-do lists) within a single system, enabling it to integrate with and facilitate operations across multiple applications and services while maintaining improved productivity
2Ease of operation
If conventional task management systems communicate only task listings, then the system structure remains simple, but additional functionality to facilitate performing tasks is lacking
Solution Approach 1:
The task management system automatically detects and suggests relevant actions for task completion based on the task context and user behavior patterns, reducing the need for manual intervention and making task execution more straightforward while maintaining a relatively simple system structure
Solution Approach 2:
The system provides intelligent suggestions and recommendations for task actions based on analyzed task data and user patterns, facilitating easier task execution by guiding users on appropriate next steps without significantly increasing system complexity
Data Source
AI summary
Methods, systems, and computer storage media for providing predicted task-actions for tasks from a plurality of task applications associated with a task management system. In operation, a task associated with a task application is accessed at a task-action prediction engine. An intent of the task is determined. The intent of the task is determined based on task features and an intent prediction machine learning model that is trained to predict intents associated with natural language text. Based on the intent of the task, a predicted task-action is selected based on a task-action computation model that is associated with predefined task-actions and predefined intent-task-categories. The predicted task-action can be communicated to a task management client that causes display of the predicted task-action in combination with a predicted task-action interface element associated with executing the predicted task-action. The predicted task-action can be displayed with supplemental task-action information for executing the predicted task-action.