Multimedia Playlist Curation via Bibliographical Data Cross-Referencing
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Solution Overview
Problem
In the digital music era, users face challenges in quickly accessing song credits and utilizing this information to discover new music, with surveys indicating a demand for personalized playlists based on credential data.
Innovation Solution
A platform that identifies multimedia tracks through audio signals, cross-references databases to retrieve bibliographical data, and allows users to curate playlists based on selected parameters such as producers, artists, and other related data points, enabling the generation of personalized playlists.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users manually search for song credits and artist information in the current digital music era, then they can access bibliographical data, but the process is time-consuming and difficult
Solution Approach 1:
The system pre-processes and structures bibliographical data (artist credits, producer information, album details) from multiple databases before user requests. By having this information readily available and organized in advance, users can immediately access comprehensive credit information without manual searching, resolving the contradiction between information completeness and access time
Solution Approach 2:
The patent introduces an intermediary platform that acts as a mediator between users and multiple music databases. This intermediary system automatically queries, aggregates, and presents bibliographical data, eliminating the need for users to manually search across different sources and significantly reducing the time required to access comprehensive song credits
2Adaptability or versatility
If the platform presents multiple parameters and options for user selection, then users can curate personalized playlists based on credentials, but the interface complexity increases
Solution Approach 1:
The patent segments the playlist curation process into distinct, manageable stages: first presenting primary parameters (artist, producer, album), then offering secondary refinement options. This segmentation allows users to engage with the system at their comfort level, providing personalized curation capabilities without overwhelming them with all parameters simultaneously
Solution Approach 2:
The system implements partial action by allowing users to select only the parameters they are interested in, rather than requiring completion of all available options. Users can curate playlists with just one or two parameters of interest, reducing interface complexity while maintaining adaptability for those who want to explore more parameters
Data Source
AI summary
An Interest-Based and Bibliographical Data-Based Multimedia Content Exploration, Curation, and Organization Method is provided. In one aspect the present disclosure is a method for identifying a multimedia track, wherein the multimedia track comprises at least one of the following media: audio, video, and encoding type. In another aspect, the present disclosure is a method for generating at least one playlist comprising at least one multimedia track. In another aspect, the present disclosure is a method enabling a platform operating on a computing to device to perform steps including identifying a multimedia track; determining bibliographical data associated with the identified track; receiving indications of parameters of interest; generating, based on at least one parameter of interest, at least one playlist comprised of at least one additional multimedia track; and retrieving data associated with the multimedia track.