A POI recommendation approach integrating social spatio-temporal information into probabilistic matrix factorization
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DOI: 10.1007/s10115-020-01509-5
Abstract: In recent years, point of interest (POI) recommendation has gained increasing attention all over the world. POI recommendation plays an indispensable role in assisting people to find places they are likely to enjoy. The exploitation… read more here.
Keywords: poi recommendation; similarity; social spatio; spatio temporal ... See more keywords
A tensor decomposition based collaborative filtering algorithm for time-aware POI recommendation in LBSN
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DOI: 10.1007/s11042-021-11407-9
Abstract: Point of interest (POI) recommendation problem in location based social network (LBSN) is of great importance and the challenge lies in the data sparsity, implicit user feedback and personalized preference. To improve the precision of… read more here.
Keywords: tensor decomposition; recommendation; poi recommendation; decomposition based ... See more keywords
Spatio-Temporal Representation Learning with Social Tie for Personalized POI Recommendation
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DOI: 10.1007/s41019-022-00180-w
Abstract: Recommending a limited number of Point-of-Interests (POIs) a user will visit next has become increasingly important to both users and POI holders for Location-Based Social Networks (LBSNs). However, POI recommendation is a challenging task since… read more here.
Keywords: personalized poi; network; sequential patterns; poi recommendation ... See more keywords
A personalized point-of-interest recommendation model via fusion of geo-social information
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DOI: 10.1016/j.neucom.2017.08.020
Abstract: Recently, as location-based social networks (LBSNs) rapidly grow, general users utilize point-of-interest recommender systems to discover attractive locations. Most existing POI recommendation algorithms always employ the check-in data and rich contextual information (e.g., geographical information… read more here.
Keywords: recommendation; information; poi recommendation; model ... See more keywords
Real-time event embedding for POI recommendation
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DOI: 10.1016/j.neucom.2019.04.022
Abstract: Abstract Location-based social networks (LBSNs) allow users to check-in and share daily lives with others. We have witnessed very rapid development of LBSNs in recent years. Point-of-Interest (POI) recommendation is one of the core services… read more here.
Keywords: time event; real time; time; poi recommendation ... See more keywords
A graph embedding based model for fine-grained POI recommendation
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DOI: 10.1016/j.neucom.2020.01.118
Abstract: Abstract Point-of-interest (POI) recommendation is an important technique widely used in self-driving services. While POI recommendation aims to recommend unvisited POIs to self-driving users, users always expect their intended items can be suggested together with… read more here.
Keywords: recommendation; graph embedding; poi recommendation; fine grained ... See more keywords
Next POI Recommendation via Graph Embedding Representation From H-Deepwalk on Hybrid Network
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DOI: 10.1109/access.2019.2956138
Abstract: With the rapid development of location-based social networks (LBSNs), point of interest (POI) recommendation has become more and more popular personalized service. Cold start problem and poor interpretability are two main challenges of the traditional… read more here.
Keywords: next poi; poi; poi recommendation; problem ... See more keywords
An Attention-Based Spatiotemporal GGNN for Next POI Recommendation
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DOI: 10.1109/access.2022.3156618
Abstract: The task of Point-of-Interest (POI) recommendation is to recommend the next interest locations for users. Gated Graph Neural Network (GGNN) has been proved to be effective on POI recommendation tasks. However, existing GGNN solutions rarely… read more here.
Keywords: attention based; next poi; poi recommendation; recommendation ... See more keywords
Network Representation Learning-Enhanced Multisource Information Fusion Model for POI Recommendation in Smart City
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DOI: 10.1109/jiot.2020.3006989
Abstract: With the advance of artificial intelligence and communication technology in the smart city, various location-based data of users can be collected via location-based social networks (LBSNs). How to make full use of these data for… read more here.
Keywords: recommendation; influence; fusion model; poi recommendation ... See more keywords
Personalized Long- and Short-term Preference Learning for Next POI Recommendation
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DOI: 10.1109/tkde.2020.3002531
Abstract: Next POI recommendation has been studied extensively in recent years. The goal is to recommend next POI for users at specific time given users’ historical check-in data. Therefore, it is crucial to model both users’… read more here.
Keywords: poi recommendation; preference; term; next poi ... See more keywords
An Attention-Based Spatiotemporal LSTM Network for Next POI Recommendation
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DOI: 10.1109/tsc.2019.2918310
Abstract: Next point-of-interest (POI) recommendation, also known as a natural extension of general POI recommendation, is recently proposed to predict user's next destination and has attracted considerable research interest. It focuses on learning users’ sequential patterns… read more here.
Keywords: next poi; poi recommendation; lstm; recommendation ... See more keywords