ROUND: Walking on an object–user heterogeneous network for personalized recommendations

作者：

Highlights：

• Walking on the heterogeneous network outperforms walking on a single network.

• Constructed network removes weak relationships with adversely influence.

• The proposed method achieves significant improvements over existing methods.

• The method is ready to be used on historical data or other accessible information.

摘要

•Walking on the heterogeneous network outperforms walking on a single network.•Constructed network removes weak relationships with adversely influence.•The proposed method achieves significant improvements over existing methods.•The method is ready to be used on historical data or other accessible information.

论文关键词：Recommender systems,Object–user heterogeneous network,Random walk,Accuracy,Diversity

论文评审过程：Received 9 December 2014, Revised 14 July 2015, Accepted 15 July 2015, Available online 21 July 2015, Version of Record 6 September 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.07.032