Music Track Rating via User Interaction Detection
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Solution Overview
Problem
Manually rating a large collection of music tracks in a portable device is cumbersome and time-consuming, especially with the increasing number of tracks from music services like Spotify, where favorites and non-favorites are mixed, making it inefficient to go through the library and set ratings for each track.
Innovation Solution
A portable electronic device automatically rates music tracks by detecting user interactions such as singing, dancing, or skipping, adjusting the rating based on the duration and frequency of these interactions, allowing for implicit user feedback without explicit rating selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual rating of each music track is performed, then accurate user preference classification is achieved, but time consumption and operational effort increase significantly
Solution Approach 1:
The system automatically generates ratings by detecting user interactions (skipping, replaying, shuffling patterns) without requiring explicit user input. The device serves itself by inferring preferences from behavioral data, eliminating the need for manual rating while maintaining accurate preference classification
Solution Approach 2:
The system continuously monitors user interaction patterns with music tracks and uses this feedback to dynamically adjust ratings. By analyzing skipping behavior, replay frequency, and shuffle patterns, the system refines its understanding of user preferences and updates ratings automatically, achieving both accuracy and efficiency
2Extent of automation
If automatic rating based on user interaction detection is implemented, then time efficiency and automation are improved, but the complexity of interaction detection increases
Solution Approach 1:
The system uses a multi-functional processing circuit that handles multiple detection tasks (skipping detection, replay detection, shuffle pattern analysis) within a single integrated component. This universal approach reduces overall system complexity compared to having separate dedicated detectors for each interaction type
Solution Approach 2:
The patent combines multiple rating determination methods into a unified system that processes various user interactions through a single rating adjustment mechanism. By merging detection and rating functions into one integrated process, the system achieves high automation without proportionally increasing complexity
Data Source
AI summary
A portable electronic device for automatically rating a music track comprised in a set of music tracks and a method therein are provided. The portable electronic device detects at least one user interaction during performance of the music track. Next, the portable electronic device adjusts a rating of the music track based on the detected at least one user interaction, thereby automatically rating the music track.