An interpretable framework for investigating the neighborhood effect in POI recommendation [PDF]
PLoS ONE, 2021 Geographical characteristics have been proven to be effective in improving the quality of point-of-interest (POI) recommendation. However, existing works on POI recommendation focus on cost (time or money) of travel for a user.
Guangchao Yuan +2 more
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Intelligent Sensors for POI Recommendation Model Using Deep Learning in Location-Based Social Network Big Data [PDF]
Sensors, 2023 Aiming at the problem that the existing Point of Interest (POI) recommendation model in social network big data is difficult to extract deep feature information, a POI recommendation model based on deep learning in social networks and big data is ...
Wanjun Chang, Dong Sun, Qidong Du
doaj +2 more sources
Relational POI recommendation model combined with geographic information [PDF]
PLoS ONE, 2022 Point of interest (POI) recommendation is a popular personalized location-based service. This paper proposes a Geographic Personal Matrix Factorization (GPMF) model that makes effective use of geographic information from the perspective of the ...
Ke Li +3 more
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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, Xu Chonghuan
exaly +3 more sources
A user behavior inertia based spatio temporal next POI recommendation model [PDF]
Scientific ReportsThe next POI (point-of-interest) recommendation problem is very challenging. It requires not only considering the previous state, location, and user context information, but also analyzing the user behavior.
Kaiqi Zhang +3 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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source