Results 11 to 20 of about 1,557 (194)
Point of Interest Recommendation Algorithm of Gated Recurrent Unit Based on Time Series and Distance [PDF]
Jisuanji gongcheng, 2020 Most Point of Interest(POI) recommendation algorithms are susceptible to the influence of time and geographical location,causing incompleteness and ambiguity in related text information of POI.Starting from the correlation between time and geographical ...
XIA Yongsheng, WANG Xiaorui, BAI Peng, LI Mengmeng, XIA Yang, ZHANG Kai
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Personalized Recommendation of PoIs to People with Autism [PDF]
Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020 The suggestion of Points of Interest to people with Autism Spectrum Disorder (ASD) challenges recommender systems research because these users' perception of places is influenced by idiosyncratic sensory aversions which can mine their experience by causing stress and anxiety.
Noemi Mauro +2 more
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Successive Point-of-Interest Recommendation With Local Differential Privacy
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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Self-Supervised Spatio-Temporal Graph Learning for Point-of-Interest Recommendation
Applied Sciences, 2023 As one of the most crucial topics in the recommendation system field, point-of-interest (POI) recommendation aims to recommending potential interesting POIs to users.
Jiawei Liu +4 more
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A Point-of-Interest Recommendation Method Exploiting Sequential, Category and Geographical Influence
ISPRS International Journal of Geo-Information, 2022 Point of interest (POI) recommendation as an important service in location-based social networks has developed rapidly, which can help users find more interesting unknown locations and facilitate service providers to provide users with more accurate ...
Xican Wang +4 more
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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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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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Discovering Subsequence Patterns for Next POI Recommendation [PDF]
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020 Next Point-of-Interest (POI) recommendation plays an important role in location-based services. State-of-the-art methods learn the POI-level sequential patterns in the user's check-in sequence but ignore the subsequence patterns that often represent the socio-economic activities or coherence of preference of the users.
Kangzhi Zhao +6 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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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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