Song Recommendation System Using Auditory Perception for Accurate Release Date Identification
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Solution Overview
Problem
Existing song recommendation systems inaccurately identify 'oldies' as 'new songs' due to relying solely on album release dates, leading to a poor user experience with incorrect music recommendations.
Innovation Solution
A method and apparatus that determine a song's release date using both song release information and auditory perception information, ensuring accurate identification and recommendation of new songs by comparing the song's release information and auditory features with the music library, thereby avoiding misclassification of re-released songs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If song release date is determined based on album release date, then the recommendation system can quickly identify new songs, but oldies in new collections are mistakenly identified as new songs
Solution Approach 1:
The patent segments the song identification process into two independent parts: using album release date for quick initial filtering and using auditory perception information for precise verification. This segmentation allows the system to maintain both speed (through album-level processing) and accuracy (through song-level verification) in the recommendation system.
Solution Approach 2:
The patent introduces auditory perception information as an intermediary element to bridge the gap between album release date and actual song release date. This intermediary enables the system to resolve the contradiction by providing an additional verification layer that accurately identifies whether a song is truly new or an oldie re-released in a new album.
2Device complexity
If only album release date is used for song identification, then the system complexity is low, but the identification accuracy deteriorates due to misclassification of re-released songs
Solution Approach 1:
The identification system is segmented into a simple first stage (album release date filtering) and a verification stage (auditory perception comparison). This segmentation maintains operational simplicity while improving reliability, as the majority of songs can be quickly identified through the simple album date criterion, with only potential oldies requiring the more complex verification process.
Solution Approach 2:
The system uses the song's own auditory perception information (intrinsic properties) to verify its release status, making the identification process self- validating. This self-service mechanism improves reliability without requiring external complex verification systems, as the song's acoustic fingerprint itself serves as the verification key.
Data Source
AI summary
According to a song recommendation method and apparatus, an electronic device, a storage medium, a computer program product and a computer program provided in embodiments of the present disclosure, a first page can be displayed firstly, and the first page includes a target song selected according to a song release date; then, in response to a trigger operation performed for the target song on the first page, the first page is switched to a second page of the selected target song. The song release date of the target song in the present embodiment is determined according to release information and auditory perception information of a song, and in this way, a real song release date of a song can be effectively identified, which in turn enables the target song shown on the first page to be selected based on the real song release date thereof.