A sequence-based filtering method for exhibition booth visit recommendations

作者：

Highlights：

• We introduce a real-time recommendation method that uses temporal sequences of data.

• A real exhibition data set is collected and used for validation.

• The proposed method performs better than the collaborative filtering technique.

• The proposed method increases recommendation accuracy, efficiency, and diversity.

摘要

•We introduce a real-time recommendation method that uses temporal sequences of data.•A real exhibition data set is collected and used for validation.•The proposed method performs better than the collaborative filtering technique.•The proposed method increases recommendation accuracy, efficiency, and diversity.

论文关键词：Recommender system,Personalization,Data mining

论文评审过程：Available online 3 May 2013.

论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2013.03.004