Exploiting Spatial and Temporal for Point of Interest Recommendation
An increasing number of users have been attracted by location-based social networks (LBSNs) in recent years. Meanwhile, user-generated content in online LBSNs like spatial, temporal, and social information provides an ever-increasing chance to study the human behavior movement from their spatiotempo...
Main Authors: | Jinpeng Chen, Wen Zhang, Pei Zhang, Pinguang Ying, Kun Niu, Ming Zou |
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Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2018-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2018/6928605 |
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