Song List Recommendation With Dual-Area Playback Interface
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Solution Overview
Problem
Existing playlist recommendation methods are inefficient, often relying on random recommendations or user search, leading to slow response times and unsatisfactory song and playlist suggestions, which degrade the user experience.
Innovation Solution
A method and apparatus that determine a target song and associated playlists, displaying song and playlist information on separate areas of an interface, allowing for simultaneous recommendation and display of preferred playlists while playing the song, thereby reducing search time and improving user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If songs are searched from the massive song library in real time based on user search, then the recommended accuracy is improved, but the response speed becomes slow and search time increases
Solution Approach 1:
The system pre-generates and stores recommendation results by matching songs with playlists before user requests. When a user searches for a song, the system retrieves pre-computed playlist recommendations instead of performing real-time searches across the entire song library, thus maintaining high accuracy while significantly improving response speed.
2Measurement precision
If user search is used to recommend songs, then the recommended accuracy is improved, but the operational steps become tedious
Solution Approach 1:
The system automatically performs playlist matching and recommendation without requiring users to manually search or filter playlists. After a user searches for or plays a song, the system autonomously identifies relevant playlists and presents them, eliminating the need for users to navigate through multiple search steps.
3Ease of operation
If random recommendation is used for songs, then the operational simplicity is improved, but the recommended accuracy becomes low
Solution Approach 1:
The system pre-establishes meaningful associations between songs and playlists based on musical attributes, genres, and metadata before user interactions. This allows the system to provide accurate, context-relevant recommendations automatically, combining the simplicity of automatic recommendation with the accuracy of targeted matching.
Data Source
Figure 1A(a)~1A(c)
Figure 1B(a)~1B(c)
Figure 2~3(b)
AI summary
Embodiments of the present disclosure provide a method, apparatus, electronic device, storage medium, computer program product and computer program for playlist recommendation. The method comprises: determining a target song for recommending to a target user and at least one playlist associated with the target song; playing the target song on a first interface for the target user, wherein the first interface comprises a first display area and a second display area, and the first display area and the second display area are distributed at different positions on the first interface; and displaying association information of the target song in the first display area with association information of the target playlist and a first list of play lists corresponding to the target playlist being displayed in the second display area. The first list of play lists is displayed with association information of the first predetermined number of songs. The target playlist is any playlist of the at least one playlist. According to the embodiments of the present disclosure, more satisfactory songs can be quickly and accurately recommended to the user, and more satisfactory playlist is recommended to the user. The operational steps are simple and convenient, and the user experience is improved.