Practical and Privacy-Preserving Geo-Social-Based POI Recommendation

Author:

Xu QiORCID,Zhu HuiORCID,Zheng YandongORCID,Wang FengweiORCID,Lu RongxingORCID,Gao LeORCID

Publisher

Elsevier BV

Reference30 articles.

1. Q. Xu, H. Zhu, Y. Zheng, F. Wang, R. Lu, L. Gao, Efficient and privacy-preserving geo-social-based POI recommendation over encrypted data, in: ICC, IEEE, 2023, pp. 1603–1608.

2. M. Akhila, B. Yogendra, S. Khan, V. Kumar, Location-based services (LBS) market size and forecast - 2031, https://www.alliedmarketresearch.com/location-based-services-market/(Mar. 2023).

3. S. Kemp, Digital 2023 April global statshot report, https://datareportal.com/reports/digital-2023-april-global-statshot/(Apr. 2023).

4. S. Badsha, X. Yi, I. Khalil, D. Liu, S. Nepal, E. Bertino, Privacy preserving location recommendations, in: WISE (2), Vol. 10570 of Lecture Notes in Computer Science, Springer, 2017, pp. 502–516.

5. Protecting multi-party privacy in location-aware social point-of-interest recommendation;Wang;World Wide Web,2019

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