Konstantin Bauman

23 papers A* 1A 8Journal 7Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
HyperCARS: Using Hyperbolic Embeddings for Generating Hierarchical Contextual Situations in Context-Aware Recommender Systems.
Inf. Syst. Res.
Konstantin Bauman, Alexander Tuzhilin, Moshe Unger
2025 — conf
When Recommendations Know You Too Well: Explanation Types, Privacy Concerns, and Eye-tracking Evidence in Personalized Systems.
AMCIS
Zisu Kim, Konstantin Bauman
2025 A conf
Workshop on Context-Aware Recommender Systems.
RecSys
Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger
2024 A conf
Does the Long Tail of Context Exist and Matter? The Case of Dialogue-based Recommender Systems.
UMAP
Konstantin Bauman, Alexey Vasilev, Alexander Tuzhilin
2024 A conf
Workshop on Context-Aware Recommender Systems (CARS) 2024.
RecSys
Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger
2023 — conf
Mobile or Desktop? That is the Question: An Empirical Study of the Role of Device Type on Real-time Employee Feedback Quality.
AMCIS
Guohou Shan, Konstantin Bauman, Michael Rivera, Subodha Kumar
2023 A conf
Workshop on Context-Aware Recommender Systems 2023.
RecSys
Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger
2022 A conf
CARS: Workshop on Context-Aware Recommender Systems 2022.
RecSys
Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
2022 — ch.
Context-Aware Recommender Systems: From Foundations to Recent Developments.
Recommender Systems Handbook
Gediminas Adomavicius, Konstantin Bauman, Alexander Tuzhilin, Moshe Unger
2022 J jnl
Know Thy Context: Parsing Contextual Information from User Reviews for Recommendation Purposes.
Inf. Syst. Res.
Konstantin Bauman, Alexander Tuzhilin
2022 J jnl
The Long Tail of Context: Does it Exist and Matter?
CoRR
Konstantin Bauman, Alexey Vasilev, Alexander Tuzhilin
2021 A conf
Workshop on Context-Aware Recommender Systems (CARS) 2021.
RecSys
Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
2020 A conf
Workshop on Context-Aware Recommender Systems.
RecSys
Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
2019 A conf
Workshop on context-aware recommender systems.
RecSys
Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
2018 J jnl
Recommending Remedial Learning Materials to Students by Filling Their Knowledge Gaps.
MIS Q.
Konstantin Bauman, Alexander Tuzhilin
2017 A* conf
Aspect Based Recommendations: Recommending Items with the Most Valuable Aspects Based on User Reviews.
KDD
Konstantin Bauman, Bing Liu, Alexander Tuzhilin
2017 J jnl
Discovering the Graph Structure in the Clustering Results.
CoRR
Evgeny Bauman, Konstantin Bauman
2017 J jnl
One-Class Semi-Supervised Learning: Detecting Linearly Separable Class by its Mean.
CoRR
Evgeny Bauman, Konstantin Bauman
2017 — conf
One-Class Semi-supervised Learning.
Braverman Readings in Machine Learning
Evgeny Bauman, Konstantin Bauman
2017 J jnl
Using Social Sensors for Detecting Emergency Events: A Case of Power Outages in the Electrical Utility Industry.
ACM Trans. Manag. Inf. Syst.
Konstantin Bauman, Alexander Tuzhilin, Ryan Zaczynski
2016 — conf
Recommending Items with Conditions Enhancing User Experiences Based on Sentiment Analysis of Reviews.
CBRecSys@RecSys
Konstantin Bauman, Bing Liu, Alexander Tuzhilin
2014 — conf
Discovering Contextual Information from User Reviews for Recommendation Purposes.
CBRecSys@RecSys
Konstantin Bauman, Alexander Tuzhilin
2014 — conf
Recommending Learning Materials to Students by Identifying their Knowledge Gaps.
RecSys Posters
Konstantin Bauman, Alexander Tuzhilin