Privacy-preserving techniques in recommender systems: state-of-the-art review and future research agenda
D Pramod - Data Technologies and Applications, 2022 - emerald.com
Purpose This study explores privacy challenges in recommender systems (RSs) and how
they have leveraged privacy-preserving technology for risk mitigation. The study also …
they have leveraged privacy-preserving technology for risk mitigation. The study also …
Differential private knowledge transfer for privacy-preserving cross-domain recommendation
Cross Domain Recommendation (CDR) has been popularly studied to alleviate the cold-
start and data sparsity problem commonly existed in recommender systems. CDR models …
start and data sparsity problem commonly existed in recommender systems. CDR models …
A systematic review of privacy techniques in recommendation systems
TB Ogunseyi, CB Avoussoukpo, Y Jiang - International Journal of …, 2023 - Springer
The problem of information overload and the necessity for precise information retrieval has
led to the extensive use of recommendation systems (RS). However, ensuring the privacy of …
led to the extensive use of recommendation systems (RS). However, ensuring the privacy of …
Differentially private sparse mapping for privacy-preserving cross domain recommendation
Cross-Domain Recommendation (CDR) has been popularly studied for solving the data
sparsity problem via leveraging rich knowledge from the auxiliary domain. Most of the …
sparsity problem via leveraging rich knowledge from the auxiliary domain. Most of the …
MuKGB-CRS: Guarantee privacy and authenticity of cross-domain recommendation via multi-feature knowledge graph integrated blockchain
L Wang, Y Qi, Y Bai, Z Sun, D Li, X Li - Information Sciences, 2023 - Elsevier
In distributed cross-domain recommendation systems, current privacy protection techniques
are ineffective at verifying data correctness and existing authenticity techniques have …
are ineffective at verifying data correctness and existing authenticity techniques have …
Privacy-Preserving Cross-Domain Recommendation with Federated Graph Learning
As people inevitably interact with items across multiple domains or various platforms, cross-
domain recommendation (CDR) has gained increasing attention. However, the rising …
domain recommendation (CDR) has gained increasing attention. However, the rising …
Entity knowledge transfer-oriented dual-target cross-domain recommendations
Cross-domain recommendations can assist users in selecting suitable items in the target
domain by aggregating or transferring the abundant available data from the auxiliary …
domain by aggregating or transferring the abundant available data from the auxiliary …
Kiosk Recommend System Based On Self-Supervised Representation Learning of User Behaviors in Offline Retail
Recently, in the offline distribution field, as the number of data collection and analysis cases
increases by applying IoT devices to kiosks, research on hyper-personalized …
increases by applying IoT devices to kiosks, research on hyper-personalized …
A verifiable and privacy-preserving framework for federated recommendation system
The data such as features involved in recommendation systems often contain private
information that can cause serious security problems if leaked to other participants in the …
information that can cause serious security problems if leaked to other participants in the …
The Three-Tier Architecture of Federated Learning for Recommendation Systems
M Vaishnavi, S Vemuru - 2023 7th International Conference on …, 2023 - ieeexplore.ieee.org
Recommender systems are now vital in the Internet age to assist users in finding helpful stuff
and reducing information overload. To assist users in finding personalized stuff, a large …
and reducing information overload. To assist users in finding personalized stuff, a large …