Data Optimisation for a Deep Learning Recommender System

Gustav Hertz, Sandhya Sachidanandan, Balázs Tóth +2

This paper advocates privacy preserving requirements on collection of user data for recommender systems. The purpose of our study is twofold. First, we ask if restrictions on data…