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PIONEER: An interest-aware POI Recommendation Engine
Computación y SistemasSanjeev K. Cowlessur +2 more
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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
doaj +3 more sources
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
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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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Multi-granularity contrastive learning model for next POI recommendation [PDF]
Frontiers in NeuroroboticsNext Point-of-Interest (POI) recommendation aims to predict the next POI for users from their historical activities. Existing methods typically rely on location-level POI check-in trajectories to explore user sequential transition patterns, which suffer ...
Yunfeng Zhu, Shuchun Yao, Xun Sun
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Practical Privacy Preserving POI Recommendation [PDF]
ACM Transactions on Intelligent Systems and Technology, 2020 Point-of-Interest (POI) recommendation has been extensively studied and successfully applied in industry recently. However, most existing approaches build centralized models on the basis of collecting users’ data. Both private data and models are held by the recommender, which causes serious privacy concerns. In this article, we propose a novel Privacy
Xiaolin Zheng, Chaochao Chen
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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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
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
A Diffusion Model for POI Recommendation
ACM Transactions on Information Systems, 2023 Next Point-of-Interest (POI) recommendation is a critical task in location-based services that aim to provide personalized suggestions for the user’s next destination. Previous works on POI recommendation have laid focus on modeling the user’s spatial preference.
Yifang Qin +4 more
openaire +2 more sources