Apr 29, 2018 · In this paper, we aim to address the problem of achieving privacy-preserving social recommendation under personalized privacy settings. We ...

We propose PrivSR, a novel framework for privacy-preserving social recommendation, in which users can model ratings and social relationships privately. Mean-.

Abstract - Personalized recommendation is crucial to help the users find pertinent information as the user requested but in this paper we need to obfuscate ...

Mar 15, 2024 · In this paper, we introduce a personalized privacy-preserving semi-centralized recommendation system in a social network known as trust-based social network ( ...

This paper proposes a privacy preserving approach to address the problem in the context of social recommendation in a strict privacy notion, called differential ...

Dec 14, 2017 · Existing privacy preserving social recommendation approaches usually allow the recommender to fully control users' information. This may be ...

Nov 1, 2019 · We propose PrivSR, a novel privacy-preserving social recommendation framework, in which user can model user feedbacks and social relationships ...

Feb 2, 2018 · We propose PrivSR, a novel framework for privacy-preserving social recommendation, in which users can model ratings and social relationships ...

Aug 10, 2023 · For this challenge, we propose a privacy-preserving recommendation system based on social relationships in the dual-cloud model. To achieve the ...

This work considers the problem of producing item recommendations that are personalized based on a user's social network, while simultaneously preventing ...