Research Article
Vendor-Based Privacy-Preserving POI Recommendation Network
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@INPROCEEDINGS{10.1007/978-3-030-89814-4_34, author={Longyin Cui and Xiwei Wang and Jun Zhang}, title={Vendor-Based Privacy-Preserving POI Recommendation Network}, proceedings={Mobile Multimedia Communications. 14th EAI International Conference, Mobimedia 2021, Virtual Event, July 23-25, 2021, Proceedings}, proceedings_a={MOBIMEDIA}, year={2021}, month={11}, keywords={Recommender system Privacy-preserving Virtual user Recommendation network}, doi={10.1007/978-3-030-89814-4_34} }- Longyin Cui
Xiwei Wang
Jun Zhang
Year: 2021
Vendor-Based Privacy-Preserving POI Recommendation Network
MOBIMEDIA
Springer
DOI: 10.1007/978-3-030-89814-4_34
Abstract
Point-of-interest (POI) recommendation services are growing in popularity due to the choice overloading and overwhelming information in modern life. However, frequent data leakage and hacking attacks are reducing people’s confidence. The awareness of privacy issues is multiplying among both the customers and service providers. This paper proposes a localized POI recommendation scheme combined with clustering techniques and introduces the concept of “virtual users” to protect user privacy without sacrificing too much accuracy.
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