Results 31 to 40 of about 30,535 (208)

An efficient privacy-preserving point-of-interest recommendation model based on local differential privacy

Complex & Intelligent Systems, 2022
With the rapid development of point-of-interest (POI) recommendation services, how to utilize the multiple types of users’ information safely and effectively for a better recommendation is challenging.
Chonghuan Xu, Xinyao Mei, Dongsheng Liu, Kaidi Zhao, Austin Shijun Ding   +4 more
doaj   +1 more source

A content-location-aware personalized POI recommendation model

Shenzhen Daxue xuebao. Ligong ban, 2022
Aiming at the data sparsity problem of user-POI matrix in point of interest (POI) recommendation, the more and more studies have explored the contextual factors such as geographical location, content information and social relations to deal with the ...
LIANG Bi, LIU Dujin, XIONG Lun, XU Xiaohong   +3 more
doaj   +1 more source

FedPOIRec: Privacy-preserving federated poi recommendation with social influence

Information Sciences, 2023
With the growing number of Location-Based Social Networks, privacy-preserving point-of-interest (POI) recommendation has become a critical challenge when helping users discover potentially interesting new places. Traditional systems take a centralized approach that requires the transmission and collection of private user data.
Perifanis, Vasileios, Drosatos, George, Stamatelatos, Giorgos, Efraimidis, Pavlos S.   +3 more
openaire   +2 more sources

Learning Points and Routes to Recommend Trajectories

, 2016
The problem of recommending tours to travellers is an important and broadly studied area. Suggested solutions include various approaches of points-of-interest (POI) recommendation and route planning.
Cheng C., Lim K. H., Liu Q., Papadimitriou C. H., Shi Y., Sinnott R. W.   +5 more
core   +1 more source

Interpretable Embeddings for Next Point-of-Interest Recommendation via Large Language Model Question–Answering

Mathematics
Next point-of-interest (POI) recommendation provides users with location suggestions that they may be interested in, allowing them to explore their surroundings.
Jiubing Chen, Haoyu Wang, Jianxin Shang, Chaomurilige   +3 more
doaj   +1 more source

Context-Aware Group Recommendation for Point-of-Interests

IEEE Access, 2018
Group recommendation generates a ranked list of recommendations for a group of users. Point-of-interests (POIs) group recommendation aims to suggest the most agreeable meeting places for a group of users.
Qiliang Zhu, Shangguang Wang, Bo Cheng, Qibo Sun, Fangchun Yang, Rong N. Chang   +5 more
doaj   +1 more source

Discovering Memory-Based Preferences for POI Recommendation in Location-Based Social Networks

ISPRS International Journal of Geo-Information, 2019
Point-of-interest (POI) recommendations in location-based social networks (LBSNs) allow online users to discover various POIs for social activities occurring in the near future close to their current locations.
Mingxin Gan, Ling Gao
doaj   +1 more source

Personalized Geographical Influence Modeling for POI Recommendation [PDF]

IEEE Intelligent Systems, 2020
Point-of-interest (POI) recommendation has great significance in helping users find favorite places from a large number of candidate venues. One challenging in POI recommendation is to effectively exploit geographical information since users usually care about the physical distance to the recommended POIs.
Zhang, Yanan, Liu, Guanfeng, Liu, An, Zhang, Yifan, Li, Zhixu, Zhang, Xiangliang, Li, Qing   +6 more
openaire   +2 more sources

A dataflow platform for applications based on Linked Data [PDF]

, 2018
Modern software applications increasingly benefit from accessing the multifarious and heterogeneous Web of Data, thanks to the use of web APIs and Linked Data principles. In previous work, the authors proposed a platform to develop applications consuming
Bottoni, Paolo Gaspare
core   +1 more source

Privacy Preserving POI Recommendation Algorithm Based on LSH [PDF]

Jisuanji gongcheng, 2019
The Location-Based Social Network(LBSN) uses the user’s check-in data to recommend the Point of Interest (POI),but for the consideration of data privacy,various social platforms are unwilling to share data directly.In order to provide a better POI ...
SHEN Xindi,ZHAI Dongjun,ZHANG Detian,LIU An
doaj   +1 more source