A hybrid approach for movie recommendation via tags and ratings

作者：

Highlights：

• A hybrid recommendation approach for movies via tags and ratings was proposed.

• Social tags were reconstructed according to user preference based on content annotation.

• Our model improved the ability of fusion by applying the potential aspects.

• Our hybrid method significantly outperforms comparative recommendation approaches.

摘要

•A hybrid recommendation approach for movies via tags and ratings was proposed.•Social tags were reconstructed according to user preference based on content annotation.•Our model improved the ability of fusion by applying the potential aspects.•Our hybrid method significantly outperforms comparative recommendation approaches.

论文关键词：Hybrid movie recommendation,Tags and ratings,Personalized recommendation,Singular value decomposition (SVD),Multiple correspondence analysis (MCA)

论文评审过程：Received 17 March 2015, Revised 2 January 2016, Accepted 2 January 2016, Available online 8 February 2016, Version of Record 25 July 2016.

论文官网地址：https://doi.org/10.1016/j.elerap.2016.01.003