Curated Playlist Generation via Task Segmentation

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Solution Overview

Problem

Users face difficulties in finding relevant media content for specific purposes or events due to the vast amount of available media, especially when they cannot clearly describe their needs, leading to inefficient search and organization of content.

Innovation Solution

An application that automatically determines user needs by breaking them down into tasks and organizing media content based on proficiency level, urgency, and content format, relieving users from determining search terms and organizing results, and providing curated playlists tailored to individual user requirements.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If users manually search for media content, then they can find relevant content, but they must wade through vast amounts of content and spend significant time determining search terms and organizing results

Engineering Contradiction:
Improvesearch accuracyVSAvoidtime to find and organize content
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs self-service by automatically determining user needs, breaking them into tasks, and organizing media content without requiring manual search term determination or result organization by the user. The application autonomously analyzes user profiles, event information, and media assets to generate curated playlists.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system performs preliminary actions by pre-organizing media content into curated playlists based on user profiles and event requirements before the user needs them. The application breaks down events into tasks in advance and pre-selects relevant media assets, so users receive ready-to-use playlists without manual searching or organizing.

Inventive Principle:
Principle #10Preliminary action

2Adaptability or versatility

If the system provides comprehensive media content selection, then users have access to relevant content, but the system cannot precisely meet user needs when events are broadly defined

Engineering Contradiction:
Improvecontent customizationVSAvoidneed identification accuracy
Core Design Contradiction:
Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The system segments broadly defined events into specific tasks to improve need identification accuracy. By breaking down events like 'tennis tournament' into discrete tasks such as 'proper swing techniques,' 'tennis rules,' and 'playing tennis,' the system can more precisely match users with relevant media content tailored to each task's requirements.

Inventive Principle:
Principle #1Segmentation

3Ease of operation

If the application automatically determines user needs and generates curated playlists, then users are relieved of search and organization burdens, but the system complexity increases

Engineering Contradiction:
Improveuser effort in searching and organizingVSAvoidsystem processing complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The system achieves universality by creating a multi-functional application that combines user profile analysis, event interpretation, task breakdown, media asset selection, and playlist curation into a single integrated system. This universal approach handles diverse user needs across different events and content types through a unified process.

Inventive Principle:
Principle #6Universality (Multi-functionality)

4Adaptability or versatility

If the system organizes media content based on multiple criteria (proficiency level, urgency, content format), then content curation is enhanced, but the processing and organization complexity increases

Engineering Contradiction:
Improvecontent organization flexibilityVSAvoidcuration process complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system applies local quality by tailoring media content selection to specific local requirements within the overall event context. It considers user-specific factors such as individual proficiency levels, preferred content formats, and urgency levels for different tasks, selecting and organizing media assets with these localized characteristics in mind to provide highly personalized curation.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS20240330355A1Methods and systems generating curated playlists
Publication Date: 2024.10.03 ADEIA GUIDES INC
  • US20240330355A1 patent drawing
  • US20240330355A1 patent drawing
  • US20240330355A1 patent drawing

AI summary

Methods and systems are described herein for an application that generates curated playlists based on the needs of a user. In addition to relieving the user of determining search terms, the application provides a smarter search methodology by first breaking the needs of the user into one or more tasks and searching for media content related to those tasks that are in a style suitable for the user. The application then automatically organizes, based on profile information about the user, the media content in the playlist according to the needs of the user.