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Vehicular ad hoc network representation learning for recommendations in internet of things
Hu,He Xuan1,2; Tang,Bo2,3; Zhang,Ye1; Wang,Wei4,5
2020-04-01
Source PublicationIEEE Transactions on Industrial Informatics
ISSN1551-3203
Volume16Issue:4Pages:2583-2591
AbstractWith the advancement of Internet of Things technology, we are able to collect massive people's trajectory data from various GPS services. These large amounts of trajectory records enable us to better understand human mobility patterns. Meanwhile, we are able to extract social relationships based on these digital records to provide personalized recommendation services, such as points of interests (POI) recommendation and friend recommendation. In this paper, we propose to recommend friends for taxi drivers based on vehicular trajectory records. For this purpose, we propose to construct a vehicular ad hoc network based on co-occurrence phenomenon. Furthermore, we take advantages of the network representation learning technique on the vehicular ad hoc network for learning driver vectors. Finally, potential friends are recommended based on the similarity of driver vectors. Extensive experimental results on two real-world datasets demonstrate that our proposed method has the best performance on friend recommendation compared with several state-of-The-Art methods. To the best of our knowledge, this is the first attempt to recommend friends for taxi drivers based on vehicular ad hoc network representation learning.
KeywordInternet of Things (IoT) network representation learning trajectory data mining vehicular ad hoc network
DOI10.1109/TII.2019.2929108
URLView the original
Language英语
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorWang,Wei
Affiliation1.College of Computer and Information,Hohai University,Nanjing,China
2.Department of Electrical Engineering,Tibet Agricultural and Animal Husbandry College,Tibet,860000,China
3.College of Energy and Electrical Engineering,Hohai University,Nanjing,China
4.Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province,School of Software,Dalian University of Technology,Dalian,China
5.Department of Computer and Information Science,Faculty of Science and Technology,University of Macau,999078,Macao
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Hu,He Xuan,Tang,Bo,Zhang,Ye,et al. Vehicular ad hoc network representation learning for recommendations in internet of things[J]. IEEE Transactions on Industrial Informatics,2020,16(4):2583-2591.
APA Hu,He Xuan,Tang,Bo,Zhang,Ye,&Wang,Wei.(2020).Vehicular ad hoc network representation learning for recommendations in internet of things.IEEE Transactions on Industrial Informatics,16(4),2583-2591.
MLA Hu,He Xuan,et al."Vehicular ad hoc network representation learning for recommendations in internet of things".IEEE Transactions on Industrial Informatics 16.4(2020):2583-2591.
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