Background music recommendation based on latent factors and moods

作者：

Highlights：

• Devise a background music recommendation algorithm based on latent factor model.

• Design several experiments to assess the performance and the effectiveness of the proposed algorithm.

• The proposed model is promising in accuracy and quantitative research.

摘要

•Devise a background music recommendation algorithm based on latent factor model.•Design several experiments to assess the performance and the effectiveness of the proposed algorithm.•The proposed model is promising in accuracy and quantitative research.

论文关键词：Background music recommendation system,Moods,Latent factor model,Recommender systems,Collaborative filtering,Multimodal information retrieval

论文评审过程：Received 21 July 2017, Revised 29 June 2018, Accepted 3 July 2018, Available online 27 July 2018, Version of Record 10 September 2018.

论文官网地址：https://doi.org/10.1016/j.knosys.2018.07.001