Design of Deep Learning Network Model for Personalized Music Emotional Recommendation

Abstract

Music is a way for people to express their inner thoughts, and it is an art form to express their feelings and send their emotions. In modern society, people tend to listen to music more and more as a way of leisure and entertainment, and different types of music hold different feelings of listeners and trigger different emotional resonances. In this study, we propose an algorithmic model based on the two-layer attention mechanism, which includes the processing of textual convolutional neural network for music name and music label text data and the processing of two-layer attention mechanism, where the two-layer attention mechanism refers to the first layer of attention mechanism that learns the user's preference for each music feature from the feature level and the second layer of attention mechanism that learns the user's preference for each piece of music in the history listening list from the item level. The experiments show that the NDCG value of this method is improved by about 0.08, and the overall quality of the recommendation list is improved, which indicates that the user interest model constructed based on the fusion of various dings has good characterization ability and is helpful to alleviate data sparsity.

[Retracted] Analysis of the Basic Characteristics and Teaching Environment and Mode of Music Appreciation Course Based on Core Literacy

“…It is crucial to develop college students' ability to appreciate art, but this is more or less accurate when compared to the teaching philosophies, goals, lessons, and methods used in music appreciation classes in colleges and universities. Music education in colleges and universities is not recommended [ 6 , 7 ]. Students can develop fundamental skills in music appreciation and aesthetics, significantly improve their artistic quality, cultivate their emotions, and improve their personality and quality by appreciating a variety of musical works.…”

Retracted: Design of Deep Learning Network Model for Personalized Music Emotional Recommendation

“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”