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10/03/2022
The Long Tail of Context: Does it Exist and Matter?
Context has been an important topic in recommender systems over the past...
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09/03/2021
LightAutoML: AutoML Solution for a Large Financial Services Ecosystem
We present an AutoML system called LightAutoML developed for a large Eur...
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06/05/2021
PURS: Personalized Unexpected Recommender System for Improving User Satisfaction
Classical recommender system methods typically face the filter bubble pr...
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06/05/2021
Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction
Cross domain recommender system constitutes a powerful method to tackle ...
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04/17/2021
Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations
Cross domain recommender systems have been increasingly valuable for hel...
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02/20/2021
Heterogeneous Demand Effects of Recommendation Strategies in a Mobile Application: Evidence from Econometric Models and Machine-Learning Instruments
In this paper, we examine the effectiveness of various recommendation st...
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11/17/2020
Noise-Resilient Automatic Interpretation of Holter ECG Recordings
Holter monitoring, a long-term ECG recording (24-hours and more), contai...
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08/15/2020
Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks
We introduce a simple autoencoder based on hyperbolic geometry for solvi...
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07/27/2020
Latent Unexpected Recommendations
Unexpected recommender system constitutes an important tool to tackle th...
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07/15/2020
Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-based Neural Networks
In this paper we study the problem of predicting clinical diagnoses from...
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02/19/2020
Event sequence metric learning
In this paper we consider a challenging problem of learning discriminati...
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11/06/2019
E.T.-RNN: Applying Deep Learning to Credit Loan Applications
In this paper we present a novel approach to credit scoring of retail cu...
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10/11/2019
DDTCDR: Deep Dual Transfer Cross Domain Recommendation
Cross domain recommender systems have been increasingly valuable for hel...
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09/30/2019
Towards Controllable and Personalized Review Generation
In this paper, we propose a novel model RevGAN that automatically genera...
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06/26/2019
Latent Multi-Criteria Ratings for Recommendations
Multi-criteria recommender systems have been increasingly valuable for h...
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05/04/2019
Latent Unexpected and Useful Recommendation
Providing unexpected recommendations is an important task for recommende...
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11/07/2018