VRer: Context-Based Venue Recommendation using embedded space ranking SVM in location-based social network

作者：

Highlights：

• The venue recommendation is formulated as a ranking problem.

• A context-based venue recommendation framework using ranking SVM is proposed.

• The ‘check-in’ data is used to capture users’ preferences.

• A embedded space ranking SVM is utilized to tune the importance factors in ranking.

• Experimental studies are conducted to demonstrate the benefits of our proposed approach.

摘要

•The venue recommendation is formulated as a ranking problem.•A context-based venue recommendation framework using ranking SVM is proposed.•The ‘check-in’ data is used to capture users’ preferences.•A embedded space ranking SVM is utilized to tune the importance factors in ranking.•Experimental studies are conducted to demonstrate the benefits of our proposed approach.

论文关键词：LBSNs,Preference,Check-in,Context-based,Ranking SVM,00-01,99-00

论文评审过程：Received 17 September 2016, Revised 6 April 2017, Accepted 7 April 2017, Available online 14 April 2017, Version of Record 21 April 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.04.020