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Music recommendation method based on group perspective

A recommendation method and music technology, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve the problems of inaccurate music recommendation, affecting user experience, and the inability of the recommendation system to obtain user dynamic information in a timely manner. Improve push accuracy and improve user experience

Pending Publication Date: 2019-09-24
XUZHOU COLLEGE OF INDAL TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the process of appreciating music, the user's behavior habits are easy to change due to changes in mood and time, and the recommendation system cannot obtain the changes in the user's dynamic information in a timely manner, resulting in inaccurate music recommendations and affecting the user experience.

Method used

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0034] A method for recommending music based on group perspective, characterized in that it specifically includes the following:

[0035] Obtain static information and dynamic information of user portraits, send forms and questionnaires to users to obtain static information of user portraits, regularly count and process data generated by user behavior, obtain dynamic information of user portraits, and periodically analyze user portraits The dynamic information label is updated;

[0036] After processing the user's dynamic information and static information, build a user portrait, abstract the information characteristics of a single user through the user portrait, make the user label, and describe each user with a number of labels from different angles;

[0037] Build a user relationship network based on the similarity of user portrait data, and treat each user portrait as a multidimensional vector P, that is, the user's user portrait can be expressed as:

[0038] P=(U 1 , U ...

Embodiment 2

[0045] A method for recommending music based on group perspective, characterized in that it specifically includes the following:

[0046] Obtain static information and dynamic information of user portraits, send forms and questionnaires to users to obtain static information of user portraits, regularly count and process data generated by user behavior, obtain dynamic information of user portraits, and periodically analyze user portraits The dynamic information label is updated;

[0047] After processing the user's dynamic information and static information, build a user portrait, abstract the information characteristics of a single user through the user portrait, make the user label, and describe each user with a number of labels from different angles;

[0048]Build a user relationship network based on the similarity of user portrait data, and treat each user portrait as a multidimensional vector P, that is, the user's user portrait can be expressed as:

[0049] P=(U 1 , U ...

Embodiment 3

[0059] A method for recommending music based on group perspective, characterized in that it specifically includes the following:

[0060] Obtain static information and dynamic information of user portraits, send forms and questionnaires to users to obtain static information of user portraits, regularly count and process data generated by user behavior, obtain dynamic information of user portraits, and periodically analyze user portraits The dynamic information label is updated;

[0061] After processing the user's dynamic information and static information, build a user portrait, abstract the information characteristics of a single user through the user portrait, make the user label, and describe each user with a number of labels from different angles;

[0062] Build a user relationship network based on the similarity of user portrait data, and treat each user portrait as a multidimensional vector P, that is, the user's user portrait can be expressed as:

[0063] P=(U 1 , U ...

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Abstract

The invention discloses a music recommendation method based on group perspective, and particularly relates to the technical field of music recommendation. The method specifically comprises the following steps: obtaining static information and dynamic information of a user portrait, sending a table and a questionnaire to a user to obtain the static information of the user portrait, carrying out statistics and processing on data generated by user behaviors regularly, obtaining the dynamic information of the user portrait, and updating a dynamic information label of the user portrait periodically; constructing a user portrait after the dynamic information and the static information of the user are processed, abstracting information characteristics of a single user through the user portrait, tagging the user, and describing each user with a plurality of labels at different angles. According to the method, the real-time user dynamic portrait information can be acquired, and the music pushing is performed according to the real-time user dynamic portrait information, so that the pushed music content style can be changed according to the change of the user dynamic portrait information, the music pushing precision is improved, and the use experience of the user is improved.

Description

technical field [0001] The present invention relates to the technical field of music recommendation, and more specifically, the present invention relates to a music recommendation method based on group perspective. Background technique [0002] With the rapid development of Internet technology, various network services and applications have gradually penetrated into people's lives, and our original social activities and information acquisition methods have gradually changed from the physical environment to the network virtual space. Especially with the rapid growth and popularization of cloud computing, social network and big data technology, the rich information on the Internet makes it more and more difficult for people to obtain content that meets their needs. As a kind of information service system, recommender system usually describes user interests and content characteristics with the help of user model, content model and other technologies, and intelligently selects c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/635
CPCG06F16/635
Inventor 赵越
Owner XUZHOU COLLEGE OF INDAL TECH
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