Konstantin Bauman

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 16

Top Topics

Recommender Systems

Contextual Information

Top Venues

CBRecSys@RecSys

Publications

Konstantin Bauman, Alexey Vasilev, Alexander Tuzhilin
Does the Long Tail of Context Exist and Matter? The Case of Dialogue-based Recommender Systems. UMAP (2024)
Guohou Shan, Konstantin Bauman, Michael Rivera, Subodha Kumar
Mobile or Desktop? That is the Question: An Empirical Study of the Role of Device Type on Real-time Employee Feedback Quality. AMCIS (2023)
Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger
Workshop on Context-Aware Recommender Systems 2023. RecSys (2023)
Konstantin Bauman, Alexander Tuzhilin
Know Thy Context: Parsing Contextual Information from User Reviews for Recommendation Purposes. Inf. Syst. Res. 33 (1) (2022)
Konstantin Bauman, Alexey Vasilev, Alexander Tuzhilin
The Long Tail of Context: Does it Exist and Matter? CoRR (2022)
Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
CARS: Workshop on Context-Aware Recommender Systems 2022. RecSys (2022)
Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
Workshop on Context-Aware Recommender Systems (CARS) 2021. RecSys (2021)
Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
Workshop on Context-Aware Recommender Systems. RecSys (2020)
Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
Workshop on context-aware recommender systems. RecSys (2019)
Konstantin Bauman, Alexander Tuzhilin
Recommending Remedial Learning Materials to Students by Filling Their Knowledge Gaps. MIS Q. 42 (1) (2018)
Konstantin Bauman, Alexander Tuzhilin, Ryan Zaczynski
Using Social Sensors for Detecting Emergency Events: A Case of Power Outages in the Electrical Utility Industry. ACM Trans. Manag. Inf. Syst. 8 (2-3) (2017)
Konstantin Bauman, Bing Liu, Alexander Tuzhilin
Aspect Based Recommendations: Recommending Items with the Most Valuable Aspects Based on User Reviews. KDD (2017)
Evgeny Bauman, Konstantin Bauman
Discovering the Graph Structure in the Clustering Results. CoRR (2017)
Evgeny Bauman, Konstantin Bauman
One-Class Semi-supervised Learning. Braverman Readings in Machine Learning (2017)
Evgeny Bauman, Konstantin Bauman
One-Class Semi-Supervised Learning: Detecting Linearly Separable Class by its Mean. CoRR (2017)
Konstantin Bauman, Bing Liu, Alexander Tuzhilin
Recommending Items with Conditions Enhancing User Experiences Based on Sentiment Analysis of Reviews. CBRecSys@RecSys (2016)
Konstantin Bauman, Alexander Tuzhilin
Discovering Contextual Information from User Reviews for Recommendation Purposes. CBRecSys@RecSys (2014)
Konstantin Bauman, Alexander Tuzhilin
Recommending Learning Materials to Students by Identifying their Knowledge Gaps. RecSys Posters (2014)