Automated Media Playlist Generation via Event Parameter Analysis
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Solution Overview
Problem
Choosing appropriate media items for social events can be difficult and time-consuming for event hosts, as it requires selecting content that aligns with the event's characteristics and attendee preferences.
Innovation Solution
A computer-implemented method and system that generates a media playlist for social events by receiving seed values and event parameters, including media feature rules, social event phases, and user feedback, to select and present media items that match the specified conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If event hosts manually choose media items for social events, then they can select content that aligns with event characteristics, but the process becomes difficult and time-consuming
Solution Approach 1:
The patent introduces an automated media selection system that acts as an intermediary between event parameters and media items. The system receives event parameters (event type, duration, atmosphere, etc.), processes them through algorithms, and automatically generates media playlists without requiring manual host intervention. This intermediary system resolves the contradiction by handling the time-consuming manual selection process while maintaining accurate media matching through structured parameter analysis.
Solution Approach 2:
The system enables self-service media playlist generation where the event hosting platform automatically selects and curates media items based on provided event parameters. The automated algorithms independently process event characteristics, filter appropriate media from databases, and generate playlists without human intervention, thereby eliminating the time investment required while preserving selection quality through systematic parameter matching.
2Productivity
If automated systems generate media playlists, then time and effort are reduced, but customization to event characteristics may be compromised
Solution Approach 1:
The patent employs parameter-driven media selection where event characteristics (event type, duration, atmosphere, guest count, etc.) are converted into selectable parameters that automatically filter and rank media items. The system dynamically adjusts media selection based on these parameters, allowing high customization adaptability through parameter variation while maintaining automated efficiency. Different parameter combinations automatically generate different playlist outcomes without manual intervention.
Solution Approach 2:
The system implements dynamic media playlist generation that adapts to varying event parameters in real-time. Rather than using fixed automated rules, the system dynamically processes event characteristics and adjusts media selection criteria accordingly. This dynamic approach allows the automated system to remain versatile and adaptable across different event types while maintaining high productivity through algorithmic processing.
Data Source
AI summary
A content server generates media playlists for social events. The content server receives a seed value describing desired characteristics of media to present during a social event, and event parameters describing conditions for selecting media items to generate a media playlist for the social event. The content server selects media items based on the event parameters and the seed value, and uses the selected media items to generate the media playlist for the social event. The media items in the playlist are retrieved from a media database and provided to a media player for presentation at the social event.