Konstantin Bauman, Ph.D. bio photo

Konstantin Bauman, Ph.D.

Research Scientist in IOMS Department Leonard N. Stern School of Business NYU.

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Research

Categories

##Research Interests Machine learning, data mining, text processing, sentiment analysis, recommender systems, aspect based recommendations, user generated reviews, educational data mining, predicting student performance, randomized control experiments, technology enhanced learning.


##Publications

###Journal Submissions

###Selected Working Papers

  • “Recommending Items with Conditions Enhancing User Experiences Based on Sentiment Analysis of Reviews”} with Liu B., Tuzhilin A.

  • “Virtual Power Outage Detection Using Social Sensors,” with Tuzhilin A., Zaczynski R.

  • “Discovering Contextual Information from User Reviews for Recommendation Purposes” with Tuzhilin A.

  • “Recommending Next Learning Activity for Optimizing the Student’s Probability of Solving all Problems in the Course” with P. Brusilovsky, S. Sahebi, Tuzhilin A.

###Journal Publications

  • “Lower estimate of the square-to-linear ratio for regular Peano curves,” Discrete Mathematics and Applications, vol 24 (3), pp 123–128, 2014.

  • “Optimization of Click-through Rate Prediction in the Yandex Search Engine,” (with Kornetova A., Topinskii V., Khakimova D.), Automatic Documentation and Mathematical Linguistics, 47 (2), 52–58, 2013.

  • “One-side Peano Curves Fractal Genius 9,” Proceedings of the Steklov Institute of Mathematics Russian Academy of Sciences, vol 275 (1), pp 47–59, 2011.

  • “Minimal Peano Curve,” (with Shchepin E.), Proceedings of the Steklov Institute of Mathematics Russian Academy of Sciences, vol 263 (1), pp 236–256, 2008.

  • “The Dilation Factor of the Peano-Hilbert Curve,” Mathematical Notes, 80 (5), 609-620, 2006.

###Conference Publications

  • “Recommending Items with Conditions Enhancing User Experiences Based on Sentiment Analysis of Reviews” (with Liu B., Tuzhilin A.) Content-based Recommender Systems (CBRecSys), Boston, 2016.

  • “Recommending Remedial Learning Materials to the Students by Filling their Knowledge Gaps,” (with Tuzhilin A.), Workshop on Educational Recommender Systems (EdRecSys), Omaha, NE, 2016.

  • “Using Social Sensors for Detecting Power Outages in the Electrical Utility Industry,” (with Tuzhilin A., Zaczynski R.), Workshop on Information Technologies and Systems (WITS), Dallas, TX, 2015

  • “Estimating customer reviews in recommender systems using sentiment analysis methods,” (with Liu B., Tuzhilin A.), Conference on Information Systems and Technology (CIST), Philadelphia PA, 2015

  • “Discovering Contextual Information from User Reviews for Recommendation Purposes,” (with Tuzhilin A.), New Trends in Content-based Recommender Systems (CBRecSys), Foster City, CA, 2014.

  • “Recommending Learning Materials to Students by Identifying their Knowledge Gaps,” (with Tuzhilin A.), Poster Proceedings of Recommender Systems conference (RecSys), Foster City, CA, 2014.

  • “Clustering Sequence of Micro-blog Messages and Study of its Applicability for Detecting New Events,” (with Suvorikova A.), Intellectualization of Information Processing, Budva, Montenegro, 2012.

  • “In Search of Minimal Peano Curve,” Topology, Geometry and Dynamics: Rokhlin Memorial Conference, Saint Petersburg, Russia, 2010.

  • “CTR Prediction Based on Click Statistics,” (with Kornetova A., Topinskii V.), Machine Learning in Online Advertising (MLOAd), Vancouver, Canada, 2010.

  • “Minimal Peano Curve,” 24th Conference on Topology and its Applications, Brno, Czech Republic, 2009.

  • “Central-Symmetric Polytopes with Minimum Number of Faces,” Proceedings of IX international seminar “Discrete Mathematics and It’s Applications,” Moscow, Russia, 2007.