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A Deep Neural Network for Crossing-City POI Recommendations
Li, Dichao; Gong, Zhiguo
Source PublicationIEEE Transactions on Knowledge and Data Engineering

With the popularity of location-aware devices (e.g., smart phones), large amounts of location-based social media data such as check-ins are generated. This stimulates plenty of studies for POI recommendations by applying machine learning techniques. However, most of the existing studies focus on POI recommendations in the same city or region, and fail to recommend POIs for users when they travel to a new city. In this paper, we propose a novel deep neural network, named as ST-TransRec, for crossing-city POI recommendations. It integrates the deep neural network, transfer learning technique, and density-based resampling method into a unified framework. In this model, the deep neural network is used to capture users' preferences for POIs and learn the embeddings of POIs. Besides, the transfer learning technique is employed to bridge the gap between cities that results from the city-dependent features. As the distributions over POIs are imbalanced, we design a density-based spatial resampling model which enables POIs to be well matched across cities. We conduct extensive experiments on two real-world datasets. The experimental results show the advantages of ST-TransRec over the state-of-the-art methods for crossing-city POI recommendations.

KeywordCrossing-city Deep Learning Density-based Resampling Poi Recommendation Transfer Learning
URLView the original
Indexed BySCIE
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Information Systems ; Engineering, Electrical & Electronic
WOS IDWOS:000822378200001
Scopus ID2-s2.0-85134190328
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Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Corresponding AuthorGong, Zhiguo
AffiliationUniversity of Macau, State Key Laboratory of Internet of Things for Smart City, Department of Computer and Information Science, Taipa, Macau, 999078, Macao
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Li, Dichao,Gong, Zhiguo. A Deep Neural Network for Crossing-City POI Recommendations[J]. IEEE Transactions on Knowledge and Data Engineering,2022,34(8):3536-3548.
APA Li, Dichao,&Gong, Zhiguo.(2022).A Deep Neural Network for Crossing-City POI Recommendations.IEEE Transactions on Knowledge and Data Engineering,34(8),3536-3548.
MLA Li, Dichao,et al."A Deep Neural Network for Crossing-City POI Recommendations".IEEE Transactions on Knowledge and Data Engineering 34.8(2022):3536-3548.
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