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Mobile Networks and Applications
Published in: Mobile Networks and Applications 6/2021

22-06-2021

Point-of-Interest Recommendation with User’s Privacy Preserving in an IoT Environment

Authors: Guoming Zhang, Lianyong Qi, Xuyun Zhang, Xiaolong Xu, Wanchun Dou

Published in: Mobile Networks and Applications | Issue 6/2021

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Abstract

With the popularization of smart devices and the rapid development of Internet of Things (IoT), location-based social networks (LBSNs) are growing rapidly. As a crucial personalized location service of LBSNs, point-of-interest (POI) recommendation has become a research hotspot. However, due to the use of personal information, POI recommendation system brings serious risks of privacy disclosure. Existing studies mainly focused on improving recommendation performance while ignoring privacy issues. To cope with the challenges, we propose a POI recommendation framework with users’ privacy preserving in an IoT environment based on local differential privacy (LDP). We first design an LDP-friendly POI recommendation method based on improved Hawkes process (HawkesRec) to integrate users’ long-term static and time-varying preferences. Then we put forward a privacy preserving recommendation framework based on HawkesRec and local differential privacy to protect the visited POIs and recommendation results of users. Experimental results over three real-world datasets demonstrate that the proposed solution achieves better performance than other baselines and has a good capability of privacy preserving.
previous article PR-RCUC: A POI Recommendation Model Using Region-Based Collaborative Filtering and User-Based Mobile Context
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Metadata
Title
Point-of-Interest Recommendation with User’s Privacy Preserving in an IoT Environment
Authors
Guoming Zhang
Lianyong Qi
Xuyun Zhang
Xiaolong Xu
Wanchun Dou
Publication date
22-06-2021
Publisher
Springer US
Published in
Mobile Networks and Applications / Issue 6/2021
Print ISSN: 1383-469X
Electronic ISSN: 1572-8153
DOI
https://doi.org/10.1007/s11036-021-01784-8

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