Results 1 to 10 of about 243,536 (257)
Exploring IoT Location Information to Perform Point of Interest Recommendation Engine: Traveling to a New Geographical Region [PDF]
Sensors, 2019 With the development of wireless Internet and the popularity of location sensors in mobile phones, the coupling degree between social networks and location sensor information is increasing.
Xu Yang +4 more
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Bidirectional Trust-Enhanced Collaborative Filtering for Point-of-Interest Recommendation [PDF]
Sensors, 2023 A personalized point-of-interest (POI) recommender system is of great significance to facilitate the daily life of users. However, it suffers from some challenges, such as trustworthiness and data sparsity problems.
Jingmin An, Wei Jiang, Guanyu Li
doaj +2 more sources
Successive Point-of-Interest Recommendation With Local Differential Privacy [PDF]
IEEE Access, 2021 A point-of-interest (POI) recommendation system performs an important role in location-based services because it can help people to explore new locations and promote advertisers to launch advertisements at appropriate locations.
Jong Seon Kim +2 more
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Time Aware Point-of-interest Recommendation [PDF]
Jisuanji kexue, 2021 In location-based social networks (LBSN),users share their location and content related to location information.Point-of-interest (POI) recommendation is an important application in LBSN which recommends locations that might be of interest to users ...
WANG Ying-li, JIANG Cong-cong, FENG Xiao-nian, QIAN Tie-yun
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A Spatiotemporal Dilated Convolutional Generative Network for Point-Of-Interest Recommendation
ISPRS International Journal of Geo-Information, 2020 With the growing popularity of location-based social media applications, point-of-interest (POI) recommendation has become important in recent years. Several techniques, especially the collaborative filtering (CF), Markov chain (MC), and recurrent neural
Chunyang Liu +6 more
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Personalized Context-Aware Point of Interest Recommendation [PDF]
ACM Transactions on Information Systems, 2018 Personalized recommendation of Points of Interest (POIs) plays a key role in satisfying users on Location-Based Social Networks (LBSNs). In this article, we propose a probabilistic model to find the mapping between user-annotated tags and locations’ taste keywords.
Fabio Crestani, Mohammad Aliannejadi
exaly +4 more sources
Exploiting Spatial and Temporal for Point of Interest Recommendation
Complexity, 2018 An increasing number of users have been attracted by location-based social networks (LBSNs) in recent years. Meanwhile, user-generated content in online LBSNs like spatial, temporal, and social information provides an ever-increasing chance to study the ...
Jinpeng Chen +5 more
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ISPRS International Journal of Geo-Information, 2023 The rapid development of big data technology and mobile intelligent devices has led to the development of location-based social networks (LBSNs). To understand users’ behavioral patterns and improve the accuracy of location-based services, point-of ...
Yan Zhou, Kaixuan Zhou, Shuaixian Chen
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An Attention-Based Spatiotemporal Gated Recurrent Unit Network for Point-of-Interest Recommendation
ISPRS International Journal of Geo-Information, 2019 Point-of-interest (POI) recommendation is one of the fundamental tasks for location-based social networks (LBSNs). Some existing methods are mostly based on collaborative filtering (CF), Markov chain (MC) and recurrent neural network (RNN).
Chunyang Liu +5 more
doaj +3 more sources
MathematicsNext point-of-interest (POI) recommendation provides users with location suggestions that they may be interested in, allowing them to explore their surroundings.
Jiubing Chen +3 more
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