| Aspect based recommendations: Recommending items with the most valuable aspects based on user reviews K Bauman, B Liu, A Tuzhilin Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 228 | 2017 |
| Recommending remedial learning materials to students by filling their knowledge gaps K Bauman, A Tuzhilin MIS Quarterly 42 (1), 313-A7, 2018 | 54 | 2018 |
| Discovering Contextual Information from User Reviews for Recommendation Purposes. K Bauman, A Tuzhilin CBREcsys@ recsys, 2-9, 2014 | 48 | 2014 |
| The dilation factor of the Peano-Hilbert curve KE Bauman Mathematical Notes 80, 609-620, 2006 | 45 | 2006 |
| Using social sensors for detecting emergency events: a case of power outages in the electrical utility industry K Bauman, A Tuzhilin, R Zaczynski ACM Transactions on Management Information Systems (TMIS) 8 (2-3), 1-20, 2017 | 35 | 2017 |
| Context-Aware Recommender Systems: From Foundations to Recent DevelopmentsContext-aware recommender systems G Adomavicius, K Bauman, A Tuzhilin, M Unger Recommender systems handbook, 211-250, 2021 | 30 | 2021 |
| Know thy Context: Parsing Contextual Information from User Reviews for Recommendation Purposes K Bauman, A Tuzhilin Information Systems Research Forthcoming, 2021 | 17 | 2021 |
| Recommending Items with Conditions Enhancing User Experiences Based on Sentiment Analysis of Reviews. K Bauman, B Liu, A Tuzhilin CBRecSys@ RecSys, 19-22, 2016 | 16 | 2016 |
| Minimal Peano curve EV Shchepin, KE Bauman Proceedings of the Steklov Institute of Mathematics 263 (1), 236-256, 2008 | 12 | 2008 |
| Recommending Learning Materials to Students by Identifying their Knowledge Gaps K Bauman, A Tuzhilin RecSys 1247, 2014 | 10 | 2014 |
| One-class semi-supervised learning E Bauman, K Bauman Braverman Readings in Machine Learning. Key Ideas from Inception to Current …, 2018 | 8 | 2018 |
| CTR prediction based on click statistic K Bauman, A Kornetova, V Topinskiy, D Leshiner Machine Learning in Online Advertising, 8, 2010 | 7 | 2010 |
| Virtual power outage detection using social sensors K Bauman, A Tuzhilin, R Zaczynski NYU Working Paper, 2015 | 6 | 2015 |
| Peano Curves of Fractal Genus 9 EV Shchepin, KE Bauman Modeling and Analysis of Data, 78-89, 2004 | 5 | 2004 |
| Workshop on context-aware recommender systems G Adomavicius, K Bauman, B Mobasher, F Ricci, A Tuzhilin, M Unger Proceedings of the 14th ACM Conference on Recommender Systems, 635-637, 2020 | 4 | 2020 |
| Optimization of click-through rate prediction in the Yandex search engine KE Bauman, AN Kornetova, VA Topinskii, DA Khakimova Automatic Documentation and Mathematical Linguistics 47, 52-58, 2013 | 4 | 2013 |
| Mobile or desktop, that is the question: An empirical study of investigating the role of device on real-time employee feedback quality G Shan, K Bauman, S Kumar That Is The Question: An Empirical Study of Investigating the Role of Device …, 2022 | 3 | 2022 |
| One-side peano curves of fractal genus 9 KE Bauman Proceedings of the Steklov Institute of Mathematics 275 (1), 47-59, 2011 | 3 | 2011 |
| Using social sensors for detecting power outages in the electrical utility industry K Bauman, A Tuzhilin, R Zaczynski Proceedings of the Workshop on Information Technology and Systems (WITS’15), 2015 | 2 | 2015 |
| Estimating customer reviews in recommender systems using sentiment analysis methods K Bauman, B Liu, A Tuzhilin Conference on Information Systems and Technology (CIST), 2015 | 2 | 2015 |
Alexander TuzhilinProfessor of Information Systems, NYUVerified email at stern.nyu.edu
