Konstantin Bauman

According to our database, Konstantin Bauman authored at least 17 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Workshop on Context-Aware Recommender Systems 2023.

Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Mobile or Desktop? That is the Question: An Empirical Study of the Role of Device Type on Real-time Employee Feedback Quality.

Guohou Shan, Konstantin Bauman, Michael Rivera, Subodha Kumar

Proceedings of the 29th Americas Conference on Information Systems, 2023

2022

Context-Aware Recommender Systems: From Foundations to Recent Developments.

Gediminas Adomavicius, Konstantin Bauman, Alexander Tuzhilin, Moshe Unger

Proceedings of the Recommender Systems Handbook, 2022

Know Thy Context: Parsing Contextual Information from User Reviews for Recommendation Purposes.

Konstantin Bauman, Alexander Tuzhilin

Inf. Syst. Res., 2022

The Long Tail of Context: Does it Exist and Matter?

Konstantin Bauman, Alexey Vasilev, Alexander Tuzhilin

CoRR, 2022

CARS: Workshop on Context-Aware Recommender Systems 2022.

Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2021

Workshop on Context-Aware Recommender Systems (CARS) 2021.

Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2020

Workshop on Context-Aware Recommender Systems.

Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

2018

Recommending Remedial Learning Materials to Students by Filling Their Knowledge Gaps.

Konstantin Bauman, Alexander Tuzhilin

MIS Q., 2018

2017

Using Social Sensors for Detecting Emergency Events: A Case of Power Outages in the Electrical Utility Industry.

Konstantin Bauman, Alexander Tuzhilin, Ryan Zaczynski

ACM Trans. Manag. Inf. Syst., 2017

Discovering the Graph Structure in the Clustering Results.

Evgeny Bauman, Konstantin Bauman

CoRR, 2017

One-Class Semi-Supervised Learning: Detecting Linearly Separable Class by its Mean.

Evgeny Bauman, Konstantin Bauman

CoRR, 2017

Aspect Based Recommendations: Recommending Items with the Most Valuable Aspects Based on User Reviews.

Konstantin Bauman, Bing Liu, Alexander Tuzhilin

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

One-Class Semi-supervised Learning.

Evgeny Bauman, Konstantin Bauman

Proceedings of the Braverman Readings in Machine Learning. Key Ideas from Inception to Current State, 2017

2016

Recommending Items with Conditions Enhancing User Experiences Based on Sentiment Analysis of Reviews.

Konstantin Bauman, Bing Liu, Alexander Tuzhilin

Proceedings of the 3rd Workshop on New Trends in Content-Based Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2016), 2016

2014

Recommending Learning Materials to Students by Identifying their Knowledge Gaps.

Konstantin Bauman, Alexander Tuzhilin

Proceedings of the Poster Proceedings of the 8th ACM Conference on Recommender Systems, 2014

Discovering Contextual Information from User Reviews for Recommendation Purposes.

Konstantin Bauman, Alexander Tuzhilin

Proceedings of the 1st Workshop on New Trends in Content-based Recommender Systems co-located with the 8th ACM Conference on Recommender Systems, 2014