Collaborative filtering with facial expressions for online video recommendation

作者：

Highlights：

• We propose a procedure for online video recommendation based on users facial expressions.

• The proposed procedure addresses a user’s preference changes often observed while the user watches a video.

• The proposed procedure addresses the new user problem.

• Experiment results show that the proposed procedure produces better prediction accuracy than other benchmark systems.

摘要

•We propose a procedure for online video recommendation based on users facial expressions.•The proposed procedure addresses a user’s preference changes often observed while the user watches a video.•The proposed procedure addresses the new user problem.•Experiment results show that the proposed procedure produces better prediction accuracy than other benchmark systems.

论文关键词：Online video recommender system,Facial expression,Personalization,Collaborative filtering

论文评审过程：Received 22 August 2015, Revised 20 January 2016, Accepted 22 January 2016, Available online 10 February 2016, Version of Record 10 February 2016.

论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2016.01.005