PGRank: Personalized Geographical Ranking for Point-of-Interest Recommendation

被引：9

作者：

Ying, Haochao ^{[1
]}

Chen, Liang ^{[2
]}

Xiong, Yuwen ^{[1
]}

Wu, Jian

机构：

[1] Zhejiang Univ, Hangzhou, Peoples R China

[2] RMIT Univ, Melbourne, Vic, Australia

来源：

PROCEEDINGS OF THE 25TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB (WWW'16 COMPANION) | 2016年

关键词：

POI Recommendation; Geographical Preference; Rank;

D O I：

10.1145/2872518.2889378

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Point-of-interest (POI) recommendation has become more and more important, since it could discover user behavior pattern and find interesting venues for them. To address this problem, we propose a rank-based method, PGRank, which integrates user geographical preference and latent preference into Bayesian personalized ranking framework. The experimental results on a real dataset show its effective.

引用

页码：137 / 138

页数：2

共 50 条

[1] Personalized Point-of-Interest Recommendation on Ranking with Poisson Factorization
Su, Yijun
Li, Xiang
Tang, Wei
Zha, Daren
Xiang, Ji
Gao, Neng
[J]. 2019 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2019,
[2] Personalized Point-of-Interest Recommendation Based on Social and Geographical Influence
Su, Chang
Gong, Bin
Xie, Xianzhong
[J]. AICCC 2021: 2021 4TH ARTIFICIAL INTELLIGENCE AND CLOUD COMPUTING CONFERENCE, 2021, : 130 - 137
[3] Point-of-Interest Recommendation based on Geographical Influence and Extended Pairwise Ranking
Su, Chang
Wang, Jin
Xie, Xianzhong
[J]. IEEE INFOCOM 2020 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS), 2020, : 966 - 971
[4] Preference-aware Bayesian Personalized Ranking for Point-of-interest recommendation
You, Yanlin
Wang, Zhenyu
[J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2023, 44 (05) : 7113 - 7119
[5] Combining Geographical and Social Influences with Deep Learning for Personalized Point-of-Interest Recommendation
Guo, Junpeng
Zhang, Wenxiang
Fan, Weiguo
Li, Wenhua
[J]. JOURNAL OF MANAGEMENT INFORMATION SYSTEMS, 2018, 35 (04) : 1121 - 1153
[6] APPR: Additive Personalized Point-of-Interest Recommendation
Naserian, Elahe
Wang, Xinheng
Dahal, Keshav
[J]. 2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2018,
[7] Disentangling Geographical Effect for Point-of-Interest Recommendation
Qin, Yingrong
Gao, Chen
Wang, Yue
Wei, Shuangqing
Jin, Depeng
Yuan, Jian
Zhang, Lin
[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 35 (08) : 7883 - 7897
[8] Learning Geographical Preferences for Point-of-Interest Recommendation
Liu, Bin
Fu, Yanjie
Yao, Zijun
Xiong, Hui
[J]. 19TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD'13), 2013, : 1043 - 1051
[9] Using function approximation for personalized point-of-interest recommendation
Chen, Bilian
Yu, Shenbao
Tang, Jing
He, Mengda
Zeng, Yifeng
[J]. EXPERT SYSTEMS WITH APPLICATIONS, 2017, 79 : 225 - 235
[10] A Geographical Behavior-based Point-of-Interest Recommendation
Yu, Xiaoyun
Li, Xin
Li, Jidong
Gai, Keke
[J]. 2019 IEEE 5TH INTL CONFERENCE ON BIG DATA SECURITY ON CLOUD (BIGDATASECURITY) / IEEE INTL CONFERENCE ON HIGH PERFORMANCE AND SMART COMPUTING (HPSC) / IEEE INTL CONFERENCE ON INTELLIGENT DATA AND SECURITY (IDS), 2019, : 166 - 171

← 1 2 3 4 5 →