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Combining Content with User Preferences for Non-Fiction Multimedia Recommendation: A Study on TED Lectures
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Dynamic Personalized Ranking
Personalized ranking methods are at the core of many systems that learn to produce recommendations from user feedbacks. Their primary objective is to identify relevant items from very large vocabularies and to assist users in discovering new content. These ...
EPFL2022Weight Erosion: An Update Aggregation Scheme for Personalized Collaborative Machine Learning
Martin Jaggi, Mary-Anne Hartley, Sai Praneeth Reddy Karimireddy, Felix Hans Michel Grimberg
Background. In medicine and other applications, the copying and sharing of data is impractical for a range of well-considered reasons. With federated learning (FL) techniques, machine learning models can be trained on data spread across several locations w ...
Springer, Cham2020