Music Discovery via Messaging Platform Context Extraction
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Solution Overview
Problem
Current technologies lack an efficient method to identify and aggregate music-related data from messaging platforms, limiting the ability to provide personalized music recommendations based on user interactions and trends.
Innovation Solution
A system and method that utilizes a messaging platform to extract music-related data by identifying context data, selecting relevant music citations from websites, and presenting them to a human editor for approval, which are then stored and used to provide music recommendations to clients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If music-related data is extracted from messaging platform messages, then music discovery accuracy is improved, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary music discovery system that sits between the messaging platform and the user, mediating the extraction and processing of music-related data from messages. This intermediary layer handles the complexity of parsing messages, identifying music citations, and generating recommendations, thereby improving music discovery accuracy while isolating the complexity from the end user interface.
Solution Approach 2:
The system extracts music-related data and citations from within the messaging platform's message content, separating the music discovery function from the general messaging functionality. This extraction allows the system to focus specifically on music-related information while leaving the core messaging system intact, improving music discovery without fundamentally altering the messaging platform's architecture.
2Adaptability or versatility
If message data from messaging platform is utilized, then music recommendation personalization is improved, but data processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-processing and indexing music-related data from messages as they arrive, rather than processing all messages in bulk when a recommendation is requested. Music citations are identified and stored in advance, allowing for faster retrieval and personalization when users request music recommendations, thus reducing real-time processing delays.
Solution Approach 2:
The patent applies local quality by processing only the portions of message data that contain music-related information, rather than analyzing entire messages or all data uniformly. The system identifies and extracts specific music citations from relevant parts of messages, focusing computational resources on music-related content while ignoring unrelated text, thereby improving personalization efficiency.
Data Source
AI summary
A system, method, and computer-readable medium for identifying music-related data based on message data from a messaging platform. The method includes: obtaining a request from a client; identifying context data associated with the request; identifying message data from the messaging platform based on the context data; selecting, based on the context data and the message data from the messaging platform, music-related data for inclusion in a result set; and providing the result set to the client in response to the request.