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Trust-Enhanced Collaborative Filtering for Personalized Point of Interests Recommendation
Wei Wang1,2; Junyang Chen1; Jinzhong Wang3; Junxin Chen1,4; Jinquan Liu5; Zhiguo Gong1
Source PublicationIEEE Transactions on Industrial Informatics

Predicting the user's trajectory behavior sequence based on point of interests (POIs) recommendation is of great significance in the realization of the smart city with the emerging of social Internet of Things technology. One of the widely adopted frameworks is the user-based collaborative filtering, where the explicit POI rating is calculated based on similar users' preference. However, the trust between users is seldom considered. We believe that if two users show similar preferences or personality traits, the trust level between them should be high. To this end, we propose to calculate the trust-enhanced user similarity in user-based collaborative filtering based on network representation learning. Meanwhile, due to the significance of geographic influence and temporal influence, we integrate these two factors into POI recommendation by a fusion model. Therefore, our proposed POI recommendation system is unified collaborative recommendation framework, which fuses trust-enhanced users' preferences to potential POIs with geographic influences and temporal influence for POI recommendation. Finally, we conduct extensive experiments on two real-world datasets by comparing with several state-of-the-art methods in terms of precision@k and recall@k. Experimental results indicate that our proposed trust-enhanced collaborative filtering method outperforms other recommendation approaches.

KeywordLocation-based Social Network Point Of Interests (Pois) Social Internet Of Things Trust
URLView the original
Indexed BySCIE
WOS Research AreaAutomation & Control Systems ; Computer Science ; Engineering
WOS SubjectAutomation & Control Systemscomputer Science, Interdisciplinary Applicationsengineering, Industrial
WOS IDWOS:000542966300050
Scopus ID2-s2.0-85082123001
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Cited Times [WOS]:43   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Corresponding AuthorJinzhong Wang
Affiliation1.State Key Laboratory of Internet of Things for Smart City,Department of Computer and Information Science,University of Macau,Macao
2.School of Software,Dalian University of Technology,Dalian,116020,China
3.Shenyang Sport University,Shenyang,110102,China
4.College of Medicine and Biological Information Engineering,Northeastern University,Shenyang,110004,China
5.Faculty of Science and Technology,University of Macau,Macao
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Wei Wang,Junyang Chen,Jinzhong Wang,et al. Trust-Enhanced Collaborative Filtering for Personalized Point of Interests Recommendation[J]. IEEE Transactions on Industrial Informatics,2019,16(9):6124-6132.
APA Wei Wang,Junyang Chen,Jinzhong Wang,Junxin Chen,Jinquan Liu,&Zhiguo Gong.(2019).Trust-Enhanced Collaborative Filtering for Personalized Point of Interests Recommendation.IEEE Transactions on Industrial Informatics,16(9),6124-6132.
MLA Wei Wang,et al."Trust-Enhanced Collaborative Filtering for Personalized Point of Interests Recommendation".IEEE Transactions on Industrial Informatics 16.9(2019):6124-6132.
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