Intelligent music recommendation system

A recommendation system and music technology, applied in the field of information processing, can solve problems such as gaps in real relevance, lack of variability, failure to generate personalized music libraries for users, etc., and achieve the effect of improving relevance and accuracy

Active Publication Date: 2016-06-29
SUN YAT SEN UNIV
View PDF5 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] (1) Its algorithm for music correlation value is not comprehensive enough, so there is a gap between the calculated value and the real correlation between music
[0005] (2) Since it only looks for the song with the highest correlation value to recommend to the user each time it recommends, the songs it recommends will be discretely distributed above and below the user's fa

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Intelligent music recommendation system
  • Intelligent music recommendation system
  • Intelligent music recommendation system

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0036] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0037] An embodiment of the present invention provides an intelligent music recommendation system, such as figure 1 As shown, the system includes:

[0038] Initialization module 1 is used to construct the song distance network and initialize the personal song library;

[0039] The playback module 2 is used to judge the current scene, obtain the probability of playing the song according to the weight value corresponding to the song in the personal song library and ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

An embodiment of the invention discloses an intelligent music recommendation system. The system comprises an initialization module, a playing module and an adjustment module, wherein the initialization module is used for constructing a song distance network and initializing a personal song library; the playing module is used for judging a current scene, obtaining a song playing probability according to a weight value, corresponding to the scene, of a song in the personal song library, playing the song, obtaining user feedback and modifying the weight value; and the adjustment module is used for adjusting the song distance network and the personal song library. According to the embodiment of the invention, a music network with a numerical associative relationship among music is established, songs highly associated with a seed song are found in the network, and the personal song library is established by the songs; the personal song library can be intelligently adjusted, so that the song library can be increasingly closer to user preferences, the accuracy of music association values can be improved, and a personalized song library is generated for users; and the recommended songs can be automatically adjusted according to the user preferences, so that the correlation degree of recommendation is increased.

Description

technical field [0001] The invention relates to the technical field of information processing, in particular to an intelligent music recommendation system. Background technique [0002] In the field of music software: in music software such as QQ Music, Netease Cloud Music, Baidu Music, Kuwo Music and other music software, there is a function of preference recommendation, through a series of internal algorithms to find out the songs that users may like, and display them on the recommended page. There are roughly two ways to judge the user's preference type. One is to match the songs with similar tags based on the user's historical playback records and the tags (TAG) contained in the songs in the records; the other is to use the seed songs selected by the user , looking for songs with high correlation in the digital song network it built for recommendation. The recommendation methods of various music software are relatively similar. There is an existing music recommendation...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F17/30
CPCG06F16/637G06F16/686
Inventor 林格孙君健孙钊亮王蓉王弘烨王鸿霖
Owner SUN YAT SEN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap