GARG: Anonymous Recommendation of Point-of-Interest in Mobile Networks by Graph Convolution Network
Sign Up to like & getrecommendations! Published in 2020 at "Data Science and Engineering"
DOI: 10.1007/s41019-020-00135-z
Abstract: The advances of mobile equipment and localization techniques put forward the accuracy of the location-based service (LBS) in mobile networks. One core issue for the industry to exploit the economic interest of the LBSs is… read more here.
Keywords: recommendation; point interest; garg; mobile networks ... See more keywords
Identifying and evaluating poverty using multisource remote sensing and point of interest (POI) data: A case study of Chongqing, China
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Cleaner Production"
DOI: 10.1016/j.jclepro.2020.120245
Abstract: Abstract Poverty is a chronic worldwide dilemma that can seriously hamper human sustainable development, which is closely related to economic growth, environmental protection, ecological restoration, and sustainable utilization of resources. Accurately and effectively identifying and… read more here.
Keywords: evaluating poverty; identifying evaluating; poverty; study ... See more keywords
A personalized point-of-interest recommendation model via fusion of geo-social information
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.08.020
Abstract: Recently, as location-based social networks (LBSNs) rapidly grow, general users utilize point-of-interest recommender systems to discover attractive locations. Most existing POI recommendation algorithms always employ the check-in data and rich contextual information (e.g., geographical information… read more here.
Keywords: recommendation; information; poi recommendation; model ... See more keywords
Deep Potential Geo-Social Relationship Mining for Point-of-Interest Recommendation
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DOI: 10.1109/access.2019.2930311
Abstract: Point-of-Interest (POI) recommendation has been an important research topic in data mining and the popularity of location-based social networks (LBSNs) has significantly contributed to POI recommendation. The existing POI recommendation models mostly adopt various explicit… read more here.
Keywords: deep potential; point interest; mining; potential geo ... See more keywords
Understanding Location Privacy of the Point-of-Interest Aggregate Data via Practical Attacks and Defenses
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2022.3184279
Abstract: Location-based services have significantly affected mobile users’ everyday life, and location privacy has become essential. Some applications (e.g., location-based recommendation, mobility analytics) do not need the raw location data, and the service providers adopt aggregation… read more here.
Keywords: practical attacks; location; point interest; privacy ... See more keywords
PIFTrack: Point-of-Interest Flows for Multiobject Tracking in Satellite Videos
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3608713
Abstract: Data annotation is extremely difficult due to the satellite imaging conditions, under which the targets are usually small, obscured, and scattered. Therefore, satellite video data annotation inevitably has noise and errors. Moreover, the irregular acceleration,… read more here.
Keywords: satellite; point interest; piftrack point; interest ... See more keywords
Interaction-Enhanced and Time-Aware Graph Convolutional Network for Successive Point-of-Interest Recommendation in Traveling Enterprises
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3200067
Abstract: Extensive user check-in data incorporating user preferences for location is collected through Internet of Things (IoT) devices, including cell phones and other sensing devices in location-based social network. It can help traveling enterprises intelligently predict… read more here.
Keywords: network; traveling enterprises; recommendation; interaction enhanced ... See more keywords
Efficient Point-of-Interest Recommendation Services With Heterogenous Hypergraph Embedding
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Services Computing"
DOI: 10.1109/tsc.2022.3187038
Abstract: Point-of-interest (POI) recommendation service has drawn growing attention with the widespread popularity of location- based social networks (LBSNs). Recent research methods on POI recommendation based on graph embedding have mainly focused on explicit interactions of… read more here.
Keywords: poi recommendation; recommendation; heterogenous hypergraph; point interest ... See more keywords
Successive Point-of-Interest Recommendation With Personalized Local Differential Privacy
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2021.3108463
Abstract: The fast development of vehicle positioning technologies has paved the way for in-vehicle recommendation systems. Successive Point-of-Interest (POI) recommendation, one of the most common forms of in-vehicle recommendation, can help users choose places where they… read more here.
Keywords: local differential; successive point; point interest; differential privacy ... See more keywords
Point-of-interest recommender model using geo-tagged photos in accordance with imperialist Fuzzy C-means clustering
Sign Up to like & getrecommendations! Published in 2025 at "PLOS One"
DOI: 10.1371/journal.pone.0317131
Abstract: Although recommender systems (RSs) strive to provide recommendations based on individuals’ histories and preferences, most recommendations made by these systems do not utilize location and time-based information. This paper presents a travel recommender system by… read more here.
Keywords: recommender; rank; point interest; proposed method ... See more keywords
Extracting Representations from Multi-View Contextual Graphs via Convolutional Neural Networks for Point-of-Interest Recommendation
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DOI: 10.3390/app14167010
Abstract: In recent years, graph-based learning methods have gained significant traction in point-of-interest (POI) recommendation systems due to their strong generalization capabilities. These approaches commonly transform user check-in records into graph-structured data and leverage graph neural… read more here.
Keywords: convolutional neural; point interest; recommendation; multi view ... See more keywords