A hybrid recommender system using artificial neural networks

作者：

Highlights：

• Neural network based hybrid recommender system utilizing review metadata is proposed.

• The system optimizes model hyper-parameters to minimize log-loss.

• Validate predictive capability of model against heterogeneous business categories.

摘要

•Neural network based hybrid recommender system utilizing review metadata is proposed.•The system optimizes model hyper-parameters to minimize log-loss.•Validate predictive capability of model against heterogeneous business categories.

论文关键词：Information retrieval,Artificial neural networks,Recommender systems,Supervised learning

论文评审过程：Received 6 February 2017, Revised 22 April 2017, Accepted 23 April 2017, Available online 29 April 2017, Version of Record 5 May 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.04.046