Sentiment analysis algorithm using contrastive learning and adversarial training for POI recommendation. [PDF]
Soc Netw Anal Min, 2023 Huang S, Wu X, Wu X, Wang K.
europepmc +1 more source
Point-of-interest Recommendation Based on Geospatial-TemporalCorrelations and Social Influence [PDF]
Jisuanji kexueWith the popularity of location-based social networks,personalized POI recommendation has become an important task.However,existing research inadequately considers the intrinsic relationships when modeling and integrating contextual information.Among ...
JIN Hong, CHEN Like, YOU Lan, LYU Shunying, ZHOU Kaicheng, XIAO Kui
doaj +1 more source
Clustering-enhanced hypergraph learning with high-order relations for POI recommendation
Journal of King Saud University: Computer and Information SciencesPoint-of-interest (POI) recommendation aims to infer users' future visits from sparse and heterogeneous check-in records in location-based social networks (LBSNs).
Junchen Li, Quanhua Zhao, Yuhang Wang
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Heterogeneous Spatio-Temporal Graph Contrastive Learning for Point-of-Interest Recommendation
Tsinghua Science and TechnologyAs one of the most crucial topics in the recommendation system field, point-of-interest (POI) recommendation aims to recommending potential interesting POIs to users. Recently, graph neural networks (GNNs) have been successfully used to model interaction
Jiawei Liu +8 more
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Exploiting Spatial and Temporal for Point of Interest Recommendation
Complexity, 2018 An increasing number of users have been attracted by location-based social networks (LBSNs) in recent years. Meanwhile, user-generated content in online LBSNs like spatial, temporal, and social information provides an ever-increasing chance to study the ...
Jinpeng Chen +5 more
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Enhancing POI Recommendation through Global Graph Disentanglement with POI Weighted Module
CoRRNext point of interest (POI) recommendation primarily predicts future activities based on users' past check-in data and current status, providing significant value to users and service providers. We observed that the popular check-in times for different POI categories vary.
Pei-Xuan Li +3 more
openaire +3 more sources
A Paradigm of Temporal‐Weather‐Aware Transition Pattern for POI Recommendation
CAAI Transactions on Intelligence TechnologyPoint of interest (POI) recommendation analyses user preferences through historical check‐in data. However, existing POI recommendation methods often overlook the influence of weather information and face the challenge of sparse historical data for ...
Junyang Chen +6 more
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A HieArarchical LSTM Framework for Capturing Long- and Short-Term Preferences in POI Recommendation
ITEGAM-JETIAPoint-of-Interest (POI) recommendation is crucial for improving user experience in location-based social networks (LBSNs). With the growing number of users checking in at various places personalized recommendations are necessary to provide relevant ...
Sarala Patchala +4 more
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Location Regularization-Based POI Recommendation in Location-Based Social Networks
, 2018 POI (point-of-interest) recommendation as one of the efficient information filtering techniques has been widely utilized in helping people find places they are likely to visit, and many related methods have been proposed.
Xinhua Wang, Haoran Jiang, Lei Guo
core +1 more source
Point of Interest Recommendation System Using Sentiment Analysis
Journal of Information Science Theory and PracticeSentiment analysis is one of the promising approaches for developing a point of interest (POI) recommendation system. It uses natural language processing techniques that deploy expert insights from user-generated content such as reviews and feedback.
Gaurav Meena +3 more
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