Discovering Contextual Information from User Reviews for Recommendation Purposes. - Konstantin Bauman; Alexander Tuzhilin (CBRecSys@RecSys, 2014)

Recommending Learning Materials to Students by Identifying their Knowledge Gaps. - Konstantin Bauman; Alexander Tuzhilin (RecSys Posters, 2014)

Recommending Items with Conditions Enhancing User Experiences Based on Sentiment Analysis of Reviews. - Konstantin Bauman; Bing Liu 001; Alexander Tuzhilin (CBRecSys@RecSys, 2016)

One-Class Semi-supervised Learning. - Evgeny Bauman; Konstantin Bauman (Braverman Readings in Machine Learning, 2017)

Aspect Based Recommendations: Recommending Items with the Most Valuable Aspects Based on User Reviews. - Konstantin Bauman; Bing Liu 001; Alexander Tuzhilin (KDD, 2017)

One-Class Semi-Supervised Learning: Detecting Linearly Separable Class by its Mean. - Evgeny Bauman; Konstantin Bauman (CoRR, 2017)

Discovering the Graph Structure in the Clustering Results. - Evgeny Bauman; Konstantin Bauman (CoRR, 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)

Recommending Remedial Learning Materials to Students by Filling Their Knowledge Gaps. - Konstantin Bauman; Alexander Tuzhilin (MIS Q., 2018)

Workshop on Context-Aware Recommender Systems. - Gediminas Adomavicius; Konstantin Bauman; Bamshad Mobasher; Francesco Ricci 001; Alexander Tuzhilin; Moshe Unger (RecSys, 2020)

Workshop on Context-Aware Recommender Systems (CARS) 2021. - Gediminas Adomavicius; Konstantin Bauman; Bamshad Mobasher; Francesco Ricci 001; Alexander Tuzhilin; Moshe Unger (RecSys, 2021)

CARS: Workshop on Context-Aware Recommender Systems 2022. - Gediminas Adomavicius; Konstantin Bauman; Bamshad Mobasher; Francesco Ricci 001; Alexander Tuzhilin; Moshe Unger (RecSys, 2022)

The Long Tail of Context: Does it Exist and Matter? - Konstantin Bauman; Alexey Vasilev; Alexander Tuzhilin (CoRR, 2022)

Know Thy Context: Parsing Contextual Information from User Reviews for Recommendation Purposes. - Konstantin Bauman; Alexander Tuzhilin (Inf. Syst. Res., 2022)

Context-Aware Recommender Systems: From Foundations to Recent Developments. - Gediminas Adomavicius; Konstantin Bauman; Alexander Tuzhilin; Moshe Unger (Recommender Systems Handbook, 2022)

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 (AMCIS, 2023)

Workshop on Context-Aware Recommender Systems 2023. - Gediminas Adomavicius; Konstantin Bauman; Bamshad Mobasher; Alexander Tuzhilin; Moshe Unger (RecSys, 2023)

Workshop on Context-Aware Recommender Systems (CARS) 2024. - Gediminas Adomavicius; Konstantin Bauman; Bamshad Mobasher; Alexander Tuzhilin; Moshe Unger (RecSys, 2024)

Does the Long Tail of Context Exist and Matter? The Case of Dialogue-based Recommender Systems. - Konstantin Bauman; Alexey Vasilev; Alexander Tuzhilin (UMAP, 2024)

HyperCARS: Using Hyperbolic Embeddings for Generating Hierarchical Contextual Situations in Context-Aware Recommender Systems. - Konstantin Bauman; Alexander Tuzhilin; Moshe Unger (Inf. Syst. Res., 2025)