91 citations · 205 across the 17 of their papers we have counts for
5 papers · 1 filter
E.T.-RNN: Applying Deep Learning to Credit Loan Applications
Dmitrii Babaev, Maxim Savchenko, Alexander Tuzhilin +1
In this paper we present a novel approach to credit scoring of retail customers in the banking industry based on deep learning methods. We used RNNs on fine grained transnational d…
DDTCDR: Deep Dual Transfer Cross Domain Recommendation
Pan Li, Alexander Tuzhilin
Cross domain recommender systems have been increasingly valuable for helping consumers identify the most satisfying items from different categories. However, previously proposed cr…
Towards Controllable and Personalized Review Generation
Pan Li, Alexander Tuzhilin
In this paper, we propose a novel model RevGAN that automatically generates controllable and personalized user reviews based on the arbitrarily given sentimental and stylistic info…
Latent Multi-Criteria Ratings for Recommendations
Pan Li, Alexander Tuzhilin
Multi-criteria recommender systems have been increasingly valuable for helping consumers identify the most relevant items based on different dimensions of user experiences. However…
Latent Unexpected and Useful Recommendation
Pan Li, Alexander Tuzhilin
Providing unexpected recommendations is an important task for recommender systems. To do this, we need to start from the expectations of users and deviate from these expectations w…