BPM-Based Media Recommendation System
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Solution Overview
Problem
Current media search systems do not effectively utilize beats per minute (BPM) data to recommend media items based on user preferences, leading to suboptimal search results and recommendations.
Innovation Solution
A networked environment with a computing device that executes a beats per minute application to assign BPM values to media items, a media search application to generate search results incorporating BPM taxonomy concepts, and a media recommendation application to suggest media based on user BPM preferences and account information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If media search systems use traditional genre-based search methods, then users can search by music preferences, but the search results and recommendations are suboptimal and do not effectively utilize BPM data
Solution Approach 1:
The patent introduces beats per minute (BPM) as a new parameter for media search and recommendation, transforming the traditional genre-based search approach into a BPM-based search system. The system analyzes audio signals to extract BPM values and uses these values to categorize and search media items, thereby improving search result relevance by utilizing previously underutilized temporal rhythm information.
2Reliability
If the system integrates BPM data into search and recommendation processes, then the relevance of search results improves, but the system complexity increases due to additional processing requirements
Solution Approach 1:
The system performs preliminary BPM analysis and categorization of media items during the indexing phase, storing BPM values and BPM-based categories in advance. This preliminary action allows the search and recommendation systems to query pre-processed BPM data without performing real-time audio analysis, thereby improving recommendation accuracy while minimizing the complexity and computational burden during actual search operations.
Data Source
AI summary
Disclosed are various embodiments relating to generating media item recommendations based upon determining a beats per minute value. A media recommendation application determines a beats per minute value based upon a pacing measurement of the user. The media recommendation application then identifies one or more media item having a beats per minute that is similar to the beats per minute value. The media recommendation application then identifies a subset of the media item candidates to surface as recommendations for the user.