Results 251 to 260 of about 459,897 (295)

Time-aware point-of-interest recommendation

Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval, 2013
The availability of user check-in data in large volume from the rapid growing location based social networks (LBSNs) enables many important location-aware services to users. Point-of-interest (POI) recommendation is one of such services, which is to recommend places where users have not visited before. Several techniques have been recently proposed for
Quan Yuan 0001, Gao Cong, Zongyang Ma, Aixin Sun, Nadia Magnenat-Thalmann   +4 more
openaire   +3 more sources

Point-of-Interest Recommendation With Global and Local Context

IEEE Transactions on Knowledge and Data Engineering, 2022
The task of point of interest (POI) recommendation aims to recommend unvisited places to users based on their check-in history. A major challenge in POI recommendation is data sparsity, because a user typically visits only a very small number of POIs among all available POIs. In this paper, we propose AUC-MF to address the POI recommendation problem by
Peng Han 0005, Shuo Shang, Aixin Sun, Peilin Zhao, Kai Zheng 0001, Xiangliang Zhang 0001   +5 more
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Disentangling Geographical Effect for Point-of-Interest Recommendation

IEEE Transactions on Knowledge and Data Engineering, 2022
Point-of-Interest (POI) recommendation has drawn a lot of attention in both academia and industry. It utilizes user check-in data, aiming at recommending unvisited POIs to users.
Yingrong Qin, Chen Gao 0001, Yue Wang 0007, Shuangqing Wei, Depeng Jin, Jian Yuan, Lin Zhang 0001   +6 more
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On successive point-of-interest recommendation

World Wide Web, 2018
With the increasing popularity of location-based social networks (LBSNs), users are able to share the Point-of-Interests (POIs) they visited by check-ins. By analyzing the users’ historical check-in records, POI recommendation can help users get better visiting experience by recommending POIs which users may be interested in. Although recent successive
Yi-Shu Lu, Wen-Yueh Shih, Hung-Yi Gau, Kuan-Chieh Chung, Jiun-Long Huang   +4 more
openaire   +1 more source

Point of interest recommendation with social and geographical influence

2016 IEEE International Conference on Big Data (Big Data), 2016
Point of interest (POI) recommendation, a service which can help people discover useful and interesting locations has emerged rapidly with the development of location-based social networks (LBSNs), like Foursquare, Gowalla and Wechat. The large number of check-in histories make it possible to mine the preference of each user and then to provide ...
Da-Chuan Zhang, Mei Li, Chang-Dong Wang 0001   +2 more
openaire   +1 more source

Context aware point of interest adaptive recommendation

Proceedings of the 2nd Workshop on Context-awareness in Retrieval and Recommendation, 2012
Applications that allow the users to search for nearby points of interest have, recently, become very popular amongst mobile device users. However, the increasing amount of available information and the limitations of current mobile devices can hinder an efficient and helpful user experience. It is fundamental that what is shown to the user is relevant.
Paulo Pombinho, Maria Beatriz Carmo, Ana Paula Afonso 0001   +2 more
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Points of interest recommendation from GPS trajectories

International Journal of Geographical Information Science, 2015
Recently, points of interest POIs recommendation has evolved into a hot research topic with real-world applications. In this paper, we propose a novel semantics-enhanced density-based clustering algorithm SEM-DTBJ-Cluster, to extract semantic POIs from GPS trajectories.
Yaqiong Liu, Hock Soon Seah
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Point-of-Interest Recommendations

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
The emergence of Location-based Social Network (LBSN) services provides a wonderful opportunity to build personalized Point-of-Interest (POI) recommender systems. Although a personalized POI recommender system can significantly facilitate users' outdoor activities, it faces many challenging problems, such as the hardness to model user's POI decision ...
Huayu Li, Yong Ge 0001, Richang Hong, Hengshu Zhu   +3 more
openaire   +1 more source

A Geographical Behavior-Based Point-of-Interest Recommendation

2019 IEEE 5th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS), 2019
With the development of mobile devices, point-of-interest (POI) recommendation has received increasing attention. However, achieving accurate personalized POI recommendation is challenging due to the sparsity of the available data per user. In addition, previous efforts based on collaborative filtering mainly treat user behavior as a whole part in ...
Xiaoyun Yu, Xin Li 0033, Jidong Li, Keke Gai   +3 more
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