no code implementations • 30 Jul 2020 • Amit Livne, Eliad Shem Tov, Adir Solomon, Achiya Elyasaf, Bracha Shapira, Lior Rokach
An empirical analysis of our results validates that our proposed approach outperforms SOTA CARS models while improving transparency and explainability to the user.
no code implementations • 26 Jul 2020 • Amit Livne, Roy Dor, Eyal Mazuz, Tamar Didi, Bracha Shapira, Lior Rokach
Learning sophisticated models to understand and predict user behavior is essential for maximizing the CTR in recommendation systems.
no code implementations • 9 Sep 2019 • Amit Livne, Moshe Unger, Bracha Shapira, Lior Rokach
Recent research has shown that modeling contextual information as a latent vector may address the sparsity and dimensionality challenges.