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Method of recommending hit songs and singers in music on-demand network

A recommendation method, music technology, applied in the network field

Inactive Publication Date: 2015-04-29
FUZHOU UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention proposes a method for recommending popular songs and singers in the music-on-demand network aiming at the problems existing in the current popular songs and singer recommendation methods

Method used

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  • Method of recommending hit songs and singers in music on-demand network
  • Method of recommending hit songs and singers in music on-demand network
  • Method of recommending hit songs and singers in music on-demand network

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Embodiment Construction

[0038] The present invention is further described by examples below, but it should be noted that the purpose of announcing the embodiments is to help further understand the present invention, but those skilled in the art can understand: without departing from the spirit of the present invention and the appended claims Various substitutions and modifications are possible within the scope. Therefore, the present invention should not be limited to the content disclosed in the embodiments, and the protection scope of the present invention is subject to the scope defined in the claims.

[0039] see figure 1 , is a flow chart of an embodiment of a method for recommending popular songs and singers in a music-on-demand network of the present invention, the method comprising the following steps:

[0040]A. Obtain the user's order record of the music on demand application, extract relevant data, and obtain four types of nodes including user (u), song (so), singer (si), and songwriter (...

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Abstract

The invention discloses a method of recommending hit songs and singers in a music on-demand network. Considered are the fact that future heat of each node of the music network needs to meet the change law of historical heat of the node and the fact that the heats of different types of nodes are kept in certain relations; future heats of songs and singers are acquired through a function model prediction phase and a coordinated adjusting phase, and on such basis, the top songs and singers are recommended; in the function model prediction phase, a function model of historical heat time sequences of the nodes is designed and used for primarily predicting the future heats of the nodes; in the coordinated adjusting phase, average edge betweenness of different relational edges of the music on-demand network is counted, and adjusting factors are calculated to adjust the primary future heats obtained in the function model prediction phase. The method has the advantages that considered are both the historical heat information of the nodes and the heat relation of the different types of nodes, ranking prediction results of the future heats of the nodes is improved, and singers and songs are recommended with better quality.

Description

technical field [0001] The invention provides a method for recommending popular songs and singers in a music-on-demand network, and relates to the field of network technology. Background technique [0002] With the development of Internet technology, more and more music websites appear. Among them, recommending recent popular songs and singers for users is a very important application. At present, most of the recommendation methods are designed according to different information of songs or singers. , such as the hits of a song; however, these different entities are not considered comprehensively in the same network to analyze the relationship between the popularity of different entities; at the same time, the recommendation results are relatively single, mostly songs or singers with a large number of hits at the current moment, It does not take into account that some songs or singers will cool down, or new songs will become hotter in the future, so the traditional method is...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 余春艳吴志强叶东毅
Owner FUZHOU UNIV
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