Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems
While recommender systems have become an integral component of the Web experience,
their heavy reliance on user data raises privacy and security concerns. Substituting user …
their heavy reliance on user data raises privacy and security concerns. Substituting user …
FEBR: Expert-Based Recommendation Framework for beneficial and personalized content
M Lechiakh, A Maurer - International Conference on Networked Systems, 2022 - Springer
So far, most research on recommender systems focused on maintaining long-term user
engagement and satisfaction, by promoting relevant and personalized content. However, it …
engagement and satisfaction, by promoting relevant and personalized content. However, it …
Preventing Group Privacy DisclosureThrough Synthetic Data: An Evaluation of Recommender System Methods
C Yépez, L Recalde, E Loza-Aguirre - 2022 - researchsquare.com
Nowadays, both the privacy of the data that feeds information systems and the effects of its
improper handling are a matter of concern. Thus, in recommender systems, mitigating the …
improper handling are a matter of concern. Thus, in recommender systems, mitigating the …