Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest Prediction | |
Qiang Cui1; Yuyuan Tang2; Shu Wu1; Liang Wang1 | |
2019-04 | |
会议名称 | Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) |
页码 | 289-301 |
会议日期 | 14-17 April 2019 |
会议地点 | Macau SAR, China |
出版者 | Springer |
摘要 | Point-of-interest (POI) prediction is a key task in location-based social networks. It captures the user preference to predict POIs. Recent studies demonstrate that spatial influence is significant for prediction. The distance can be converted to a weight reflecting the relevance of two POIs or can be utilized to find nearby locations. However, previous studies almost ignore the correlation between user and distance. When people choose the next POI, they will consider the distance at the same time. Besides, spatial influence varies greatly for different users. In this work, we propose a Distance-to-Preference (Distance2Pre) network for the next POI prediction. We first acquire the user's sequential preference by modeling check-in sequences. Then, we propose to acquire the spatial preference by modeling distances between successive POIs. This is a personalized process and can capture the relationship in user-distance interactions. Moreover, we propose two preference encoders which are a linear fusion and a non-linear fusion. Such encoders explore different ways to fuse the above two preferences. Experiments on two real-world datasets show the superiority of our proposed network. |
关键词 | Poi Sequential Preference Spatial Preference Non-linear |
收录类别 | 其他 |
七大方向——子方向分类 | 知识表示与推理 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/23692 |
专题 | 模式识别实验室 |
通讯作者 | Shu Wu |
作者单位 | 1.Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA) and University of Chinese Academy of Sciences (UCAS) 2.University of Science and Technology Beijing |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Qiang Cui,Yuyuan Tang,Shu Wu,et al. Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest Prediction[C]:Springer,2019:289-301. |
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