Effective and diverse POI recommendations through complementary diversification models

作者：

Highlights：

• The DisCovER, a method able to improve diversity and accuracy of POI recommendation.

• An adaptation of DisCovER able to personalize the diversity of POIs recomendation.

• A deep experimental evaluation comparing DisCovER to the state-of-the-art algorithms.

• An adaptation of the Multi-Attribute Utility (MAUT) for the Recommendation field.

摘要

•The DisCovER, a method able to improve diversity and accuracy of POI recommendation.•An adaptation of DisCovER able to personalize the diversity of POIs recomendation.•A deep experimental evaluation comparing DisCovER to the state-of-the-art algorithms.•An adaptation of the Multi-Attribute Utility (MAUT) for the Recommendation field.

论文关键词：Recommender systems and algorithms,Knowledge management,Point-of-interest,Location-based social networks,Diversity

论文评审过程：Received 21 September 2020, Revised 15 February 2021, Accepted 21 February 2021, Available online 26 February 2021, Version of Record 1 April 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114775