Music recommendation method based on emotional context awareness of Personal Rank

A technology of recommendation method and context, applied in the fields of instrumentation, computing, electrical digital data processing, etc., can solve the problem of less research work, and achieve the effect of broad application prospects and good application value

Active Publication Date: 2016-03-23
ZHEJIANG UNIV
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Problems solved by technology

However, in the design of music recommendation system based on emotional context, there are relatively few researches on the extraction, modeling and combination of user emotional context and recommendation system.

Method used

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  • Music recommendation method based on emotional context awareness of Personal Rank
  • Music recommendation method based on emotional context awareness of Personal Rank
  • Music recommendation method based on emotional context awareness of Personal Rank

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Embodiment Construction

[0039] In order to further understand the present invention, the preferred embodiments of the present invention are described below in conjunction with examples, but it should be understood that these descriptions are only to further illustrate the features and advantages of the present invention, rather than limiting the claims of the present invention.

[0040] The present invention will be further described below in conjunction with accompanying drawing and embodiment:

[0041] figure 1 The concept diagram of the emotional context-aware recommendation method based on PersonalRank is shown. First, all users’ historical microblogs are obtained, and the user’s emotional context vector is extracted from the user’s ordinary microblogs by using the emotional dictionary constructed in advance. At the same time, the user’s music sharing Extract the music the user listens to from Weibo, and finally get the associated data of "user-music-emotion"; then obtain the current emotional co...

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Abstract

The present invention relates to a music recommendation method combined with an emotional state of a user for improving a music recommendation effect. The method primarily uses microblog data issued by a user, common microblogs and music sharing microblogs included, in order to acquire a listening record of the user and corresponding associated data of an emotional context, and uses a graph model to indicate the associated data; According to the music recommendation method disclosed by the present invention, during recommendation, the current emotional state of the user is taken into consideration, and a Personal Rank method is used to traverse the graph model, thereby recommending music that meets the current preference of the user.

Description

technical field [0001] The invention relates to the field of emotion mining and recommendation systems, and mainly designs a music recommendation method based on PersonalRank-based emotion context perception. Background technique [0002] Emotion mining is to obtain the emotional state of a specific user through some methods, and the method of directly obtaining user emotions through medical sensors is complicated and not universal. Another relatively common way is to analyze user-generated data or read text data (including microblogs, news, blogs, etc.) through natural language processing to obtain the user's current emotional state. Compared with the text read by the user, the emotional information in the text published by the user is richer, and now the popularity of the mobile Internet and the widespread popularity of mobile devices make it more convenient to obtain user data in this way. Similar methods are widely used in fields such as public opinion analysis and anal...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/636
Inventor 邓水光王东京周新宇李莹吴健尹建伟吴朝晖
Owner ZHEJIANG UNIV
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