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Music recommendation method and system based on group perspective

A recommendation method and music technology, applied in the fields of instruments, computing, electrical digital data processing, etc., can solve the problem of low recommendation accuracy, and achieve the effect of improving accuracy and reliability and improving accuracy.

Active Publication Date: 2015-06-24
天翼爱音乐文化科技有限公司
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Problems solved by technology

[0004] Based on this, it is necessary to provide a music recommendation method and system based on group perspective with high recommendation accuracy for the problem of low recommendation accuracy in general music recommendation methods

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  • Music recommendation method and system based on group perspective
  • Music recommendation method and system based on group perspective
  • Music recommendation method and system based on group perspective

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Embodiment Construction

[0021] The technical solution of the present invention based on the group perspective music recommendation method and system is mainly based on the following theories:

[0022] 1. The user group division method based on the horizontal dimension (song category) is mainly based on the music attribute label, that is, the music category label, and the user group is organized through the common characteristics of the user's music preferences. Multi-dimensional segmentation based on different label classification basis. For example, common song categories include "Pop" and "Rock" (by genre), "Japanese" and "Cantonese" (by language), "Violin" and "Piano" (by instrument), "Beethoven" and "Bach" (divided by artist) and so on. Through song category tags, platform users can be divided into multi-dimensional user groups, analyzed within user groups (that is, with high similarity in hobbies), narrowing the scope of user groups, and improving recommendation accuracy.

[0023] 2. The user ...

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Abstract

The invention provides a music recommendation method and system based on group perspective. User characteristics and the favorite categories of songs listened to by users are analyzed according to user history logs, then user sets are divided according to the user characteristics and the favorite categories, user groups with the same general characteristics are built, and the user groups to which the users belong are analyzed; the collaborative filtering fusion algorithm is adopted to generate a recommendation song list, and the recommendation song list is pushed to the users. In the whole process, accurate user group division is carried out for a huge number of users, user interesting multidimensional perspective is achieved by deeply excavating the user data, and the music recommendation precision is improved. In addition, the user groups with the same general characteristics are built, and then the hybrid recommendation algorithm is used, so that music recommendation accuracy and reliability are further improved.

Description

technical field [0001] The invention relates to the technical field of music recommendation, in particular to a method and system for music recommendation based on group perspective. Background technique [0002] With the rapid development of the Internet industry in recent years, the rapid expansion of massive music resources has made it extremely difficult for users to choose music. [0003] Existing music recommendation includes music content-based recommendation, music relevance-based recommendation, knowledge-based recommendation, and collaborative filtering recommendation. Although there are many different music recommendation methods, the general music recommendation methods generally have the problem of low recommendation accuracy. Contents of the invention [0004] Based on this, it is necessary to provide a music recommendation method and system based on group perspective with high recommendation accuracy for the problem of low recommendation accuracy in general...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/686G06F16/9535G06F16/9537
Inventor 曾荣吴伟芬
Owner 天翼爱音乐文化科技有限公司
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