CASIA OpenIR  > 智能感知与计算研究中心
Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest Prediction
Qiang Cui1; Yuyuan Tang2; Shu Wu1; Liang Wang1
2019-04
Conference NamePacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)
Pages289-301
Conference Date14-17 April 2019
Conference PlaceMacau SAR, China
PublisherSpringer
Abstract

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.

KeywordPoi Sequential Preference Spatial Preference Non-linear
Indexed By其他
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/23692
Collection智能感知与计算研究中心
Corresponding AuthorShu Wu
Affiliation1.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
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
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.
Files in This Item: Download All
File Name/Size DocType Version Access License
正式接收后 Cui2019_Chapte(1387KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Qiang Cui]'s Articles
[Yuyuan Tang]'s Articles
[Shu Wu]'s Articles
Baidu academic
Similar articles in Baidu academic
[Qiang Cui]'s Articles
[Yuyuan Tang]'s Articles
[Shu Wu]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Qiang Cui]'s Articles
[Yuyuan Tang]'s Articles
[Shu Wu]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 正式接收后 Cui2019_Chapter_Distance2PrePersonalizedSpatia.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.