Konstantin Bauman

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 Publications

• “Using Social Sensors for Detecting Emergency Events: A Case of Power Outages in the Electrical Utility Industry,” (with A. Tuzhilin, R. Zaczynski), accepted for publication in ACM Transactions on Management Information Systems (TMIS) – WITS Special Issue.
• “Recommending Remedial Learning Materials to the Students by Filling their Knowledge Gaps” (with A. Tuzhilin), forthcoming in Management Information Systems Quarterly (MISQ).
• “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 and Workshop Publications

• “Aspect Based Recommendations: Recommending Items with the Most Valuable Aspects Based on User Reviews,” (with Liu B., Tuzhilin A.), In Proceedings of KDD ’17, Halifax, NS, Canada, August 13-17, 2017 [paper] [poster] [code] [dataset]
• “Recommending Items with Conditions Enhancing User Experiences Based on Sentiment Analysis of Reviews,” (with A. Tuzhilin, B. Liu), Workshop on Information Technologies and Systems (WITS), Dublin, Ireland, 2016.
• “Discovering Contextual Information from User Reviews for Recommendation Purposes,” (with Tuzhilin A.), Conference on Information Systems and Technology (CIST), Nashville, TN, 2016. [paper] [slides]
• “Recommending Remedial Learning Materials to the Students by Filling their Knowledge Gaps,” (with Tuzhilin A.), Workshop on Educational Recommender Systems (EdRecSys), Omaha, NE, 2016. [paper] [slides]
• “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. [paper] [slides]
• “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. [paper] [slides]
• “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. [paper] [slides]
• “Discovering Contextual Information from User Reviews for Recommendation Purposes,” (with Tuzhilin A.), New Trends in Content-based Recommender Systems (CBRecSys), Foster City, CA, 2014. [paper] [slides]
• “Recommending Learning Materials to Students by Identifying their Knowledge Gaps,” (with Tuzhilin A.), Poster Proceedings of Recommender Systems conference (RecSys), Foster City, CA, 2014. [paper] [poster]
• “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.

In Preparation for Submission

• “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.