Music Metadata Acquisition System for Recommendation Accuracy
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Solution Overview
Problem
Current music analysis, personalization, and recommendation systems rely on either acoustic or cultural metadata, but not both effectively, limiting their ability to provide comprehensive music recommendations.
Innovation Solution
A system that automatically acquires and integrates acoustic, cultural, and explicit metadata from various sources, including client computers, acoustic metadata servers, cultural metadata servers, and web servers, to create a comprehensive metadata library for music analysis and recommendation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If only acoustic metadata is used for music analysis and recommendation, then the system can process music signals efficiently, but the recommendation accuracy and comprehensiveness deteriorates due to lack of cultural context
Solution Approach 1:
The patent combines acoustic metadata (from music signal analysis) with cultural metadata (from internet sources, reviews, and user data) into a unified recommendation system. This merging allows the system to maintain processing efficiency through automated acoustic analysis while improving recommendation accuracy by incorporating cultural context, user preferences, and expert reviews.
Solution Approach 2:
The system performs multiple functions: it automatically extracts acoustic metadata from music signals, collects cultural metadata from various internet sources, processes user feedback, and generates recommendations. This multi-functionality allows a single system to handle both efficient signal processing and comprehensive cultural analysis without requiring separate specialized systems.
2Loss of information
If only cultural metadata is used for music recommendation, then comprehensive music description and cultural context are achieved, but the system loses the ability to perform automated acoustic analysis and signal processing
Solution Approach 1:
The patent merges automated acoustic analysis capabilities with cultural metadata collection and processing. The system simultaneously performs acoustic fingerprinting of music tracks and gathers cultural information from internet sources, user reviews, and expert opinions, combining both data types to create comprehensive music profiles that retain full cultural context while maintaining automated processing.
Solution Approach 2:
The system segments metadata collection into distinct modules: acoustic metadata extraction from music signals, cultural metadata collection from internet sources, user preference gathering, and recommendation generation. This segmentation allows each module to specialize in its function while the integrated system maintains both automated acoustic analysis and comprehensive cultural information.
3Loss of information
If the system collects and processes both acoustic and cultural metadata from multiple sources, then comprehensive music information is achieved, but the system complexity and data processing requirements increase
Solution Approach 1:
The patent implements a universal metadata processing system that handles multiple data types (acoustic, cultural, user preferences) through standardized processing pipelines. The system uses unified data structures and processing algorithms that can accommodate different metadata sources without requiring separate complex processing paths for each data type.
Solution Approach 2:
The system introduces intermediary components that standardize and normalize data from diverse sources before processing. Metadata from acoustic analysis, internet sources, and user inputs are converted into standardized formats through intermediary processing layers, reducing system complexity by creating a uniform interface for handling heterogeneous data.
Data Source
AI summary
Methods, apparatus, and storage media to build a music metadata library from music collections stored on a plurality of client computing devices. A music server may receive, from a first client computing device of the plurality of client computing device, a unique identifier for a track stored in the first client computing device. The music server may determine if the track is a known track corresponding to acoustic metadata that is already contained in the music metadata library. When the track is not a known track, the music server may send a message indicating the track is a new track to the first client computing device. The music server may then receive acoustic metadata for the track from the first client computing device and store the received acoustic metadata in the music metadata library.