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Music Recommendation System

EasyChair Preprint no. 3124

6 pagesDate: April 7, 2020


     A music recommendation system is a subclass of information filtering system that aims to predict a user's rating or preference for particular music. For the music recommendation system, there are different approaches. Convolutionary neural network (CNN) is one of its kind. This classifies music in different genres based on the music's audio signal beats. Collaborative filtering algorithm is used in the customized music recommendation system to combine CNN output with logfiles to suggest music to the user. It is also possible to use low-dimensional projection and audio features to identify the music genre. This system can be used in various audio devices, apps and services.

Keyphrases: collaborative filtering, Convolutionary Neural Network, Information filtering system, low-dimensional projection

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Vajjala Srinandhini and Thaiyalnayaki Krishnan},
  title = {Music Recommendation System},
  howpublished = {EasyChair Preprint no. 3124},

  year = {EasyChair, 2020}}
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