Machine unlearning (MU) is gaining increasing attention due to the need to remove or modify predictions made by machine learning (ML) models. While training models have …
User-based KNN recommender systems (UserKNN) utilize the rating data of a target user'sk nearest neighbors in the recommendation process. This, however, increases the privacy risk …
Increased use of collaborative technologies and agile teamwork models has led to a greater need for temporary teams. Unfortunately, they lack the normal team formation processes that …
Recommendation and search systems have already become indispensable means of helping web users identify the most relevant information/services in the era of information …
The principle of data minimization aims to reduce the amount of data collected, processed or retained to minimize the potential for misuse, unauthorized access, or data breaches …
X Ma, M Li, X Liu - arXiv preprint arXiv:2407.18937, 2024 - arxiv.org
Using 286 research papers collected from Web of Science, ScienceDirect, SpringerLink, arXiv, and Google Scholar databases, a systematic review methodology was adopted to …
Flesteparten av dagens digitale tjenester benytter en eller annen form for et anbefalingssystem. En stor ulempe med disse anbefalingssystemene er at de baserer seg …
The principle of data minimization aims to reduce the amount of data collected, processed or retained to minimize the potential for misuse, unauthorized access, or data breaches …