10 citations · 24 across the 8 of their papers we have counts for
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cs.IR2020★ 3 cited
Federating Recommendations Using Differentially Private Prototypes
Mónica Ribero, Jette Henderson, Sinead Williamson +1
Machine learning methods allow us to make recommendations to users in applications across fields including entertainment, dating, and commerce, by exploiting similarities in users'…
cs.IR2019★ 10 cited
Large-scale Collaborative Filtering with Product Embeddings
Thom Lake, Sinead A. Williamson, Alexander T. Hawk +2
The application of machine learning techniques to large-scale personalized recommendation problems is a challenging task. Such systems must make sense of enormous amounts of implic…