Results 11 to 20 of about 30,535 (208)
Point of Interest Recommendation Algorithm Fusing with Spatiotemporal and Popularity Features [PDF]
Jisuanji gongcheng, 2018 Point of Interest(POI) recommendation helps users to find the desired location,but the recommendation accuracy of existing recommendation algorithms is low.To solve this problem,a POI recommendation algorithm fusing with spatiotemporal and popularity ...
WU Yan,ZHANG Yun,CHEN Shuangshuang
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Next-POI Recommendations Matching User’s Visit Behaviour [PDF]
, 2021 AbstractWe consider the urban tourism scenario, which is characterized by limited availability of information about individuals’ past behaviour. Our system goal is to identify relevant next Points of Interest (POIs) recommendations. We propose a technique that addresses the domain requirements by using clusters of users’ visits trajectories that show ...
David Massimo, Francesco Ricci
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Mathematics, 2021 The advent of mobile scenario-based consumption popularizes and gradually maturates the application of point of interest (POI) recommendation services based on geographical location.
Chonghuan Xu, Dongsheng Liu, Xinyao Mei
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A Survey of Studies on Deep Learning Applications in POI Recommendation [PDF]
Jisuanji gongcheng, 2022 In Location-Based Social Network(LBSN), users conduct check-ins at selected Point of Interest(POI) to record their trajectories, share feelings with their friends and form social friends.POI recommendation is an important service of LBSN to help users ...
TANG Jiaxin, CHEN Yang, ZHOU Mengying, WANG Xin
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Session‐Based Graph Attention POI Recommendation Network
Wireless Communications and Mobile Computing, 2022 Point‐of‐interest (POI) recommendation which aims at predicting the locations that users may be interested in has attracted wide attentions due to the development of Internet of Things and location‐based services. Although collaborative filtering based methods and deep neural network have gain great success in POI recommendation, data sparsity and cold
Zhuohao Zhang, Jinghua Zhu, Chenbo Yue
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BERT4Loc: BERT for Location—POI Recommender System
Future Internet, 2023 Recommending points of interest (POI) is a challenging task that requires extracting comprehensive location data from location-based social media platforms. To provide effective location-based recommendations, it is important to analyze users’ historical behavior and preferences.
Syed Raza Bashir +2 more
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Dynamic Recommendation of POI Sequence Responding to Historical Trajectory
ISPRS International Journal of Geo-Information, 2019 Point-of-Interest (POI) recommendation is attracting the increasing attention of researchers because of the rapid development of Location-based Social Networks (LBSNs) in recent years.
Jianfeng Huang +3 more
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Modeling user mobility via user psychological and geographical behaviors towards point of-interest recommendation [PDF]
, 2016 © Springer International Publishing Switzerland 2016. The pervasive employments of Location-based Social Network call for precise and personalized Point-of-Interest (POI) recommendation to predict which places the users prefer. Modeling user mobility, as
G Linden +7 more
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Content-based POI Recommendation in Real-time Traffic Constraint [PDF]
Jisuanji gongcheng, 2017 Traditional Point of Interest(POI) recommendation method does not consider the user’s location and real-time traffic information.Though it can satisfy the user’s preference,it leads to a big increase in travel time.A recommended method of considering the
LEI Kai,LIU Shubo,LI Dan,LI Yongkai
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Exploring Temporal and Spatial Features for Next POI Recommendation in LBSNs
IEEE Access, 2021 With the increasing popularity of Location-Based Social Networks (LBSNs), a significant volume of check-in data of users has been generated. Such massive data brings difficulties for the users to efficiently retrieve their desired point-of-interest (POI).
Miao Li +4 more
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