A complementing preference based method for location recommendation with cellular data

作者：

Highlights：

• Complement user’s preference to cope with incomplete user preference information in location recommendation.

• Verify the feasibility of complementing user’s preferences with geographically similar friends’ locations.

• Propose a method to complement the user–location preference matrix, considering personalization.

• The experimental results show the effectiveness of the work.

摘要

•Complement user’s preference to cope with incomplete user preference information in location recommendation.•Verify the feasibility of complementing user’s preferences with geographically similar friends’ locations.•Propose a method to complement the user–location preference matrix, considering personalization.•The experimental results show the effectiveness of the work.

论文关键词：Location recommendation,Implicit feedback,Geosimilarity network,Complementary preference,Weighted regularized matrix factorization

论文评审过程：Received 14 December 2018, Revised 26 July 2019, Accepted 27 July 2019, Available online 30 July 2019, Version of Record 27 September 2019.

论文官网地址：https://doi.org/10.1016/j.knosys.2019.104889