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Tuzhilin, Alexander
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1

Does the Long Tail of Context Exist and Matter? The Case of..:

, In: Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization,
Bauman, Konstantin ; Vasilev, Alexey ; Tuzhilin, Alexander - p. 273-278 , 2024
Link: https://dl.acm.org/doi/1..
 
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2

Workshop on Context-Aware Recommender Systems 2023:

, In: Proceedings of the 17th ACM Conference on Recommender Systems,
Adomavicius, Gediminas ; Bauman, Konstantin ; Mobasher, Bamshad.. - p. 1234-1236 , 2023
Link: https://dl.acm.org/doi/1..
 
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3

Dual Contrastive Learning for Efficient Static Feature Repr..:

Li, Pan ; Que, Maofei ; Tuzhilin, Alexander
IEEE Transactions on Knowledge and Data Engineering.  , 2023
Link: https://doi.org/10.1109/..
 
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4

Don't Need All Eggs in One Basket: Reconstructing Composite..:

Unger, Moshe ; Li, Pan ; Sen, Sahana (Shahana).
ACM Transactions on Management Information Systems.  14 (2023)  2 - p. 1-30 , 2023
Link: https://doi.org/10.1145/..
 
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5

Predicting consumer choice from raw eye-movement data using..:

Unger, Moshe ; Wedel, Michel ; Tuzhilin, Alexander
Data Mining and Knowledge Discovery.  38 (2023)  3 - p. 1069-1100 , 2023
Link: https://doi.org/10.1007/..
 
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6

Hierarchical Contextual Embeddings for Context-Aware Recomm..:

, In: 2023 IEEE 39th International Conference on Data Engineering (ICDE),
Unger, Moshe ; Tuzhilin, Alexander - p. 3863-3864 , 2023
Link: https://doi.org/10.1109/..
 
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7

CoLES: Contrastive Learning for Event Sequences with Self-S..:

, In: Proceedings of the 2022 International Conference on Management of Data,
Babaev, Dmitrii ; Ovsov, Nikita ; Kireev, Ivan... - p. 1190-1199 , 2022
Link: https://dl.acm.org/doi/1..
 
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8

Learning Latent Multi-Criteria Ratings From User Reviews fo..:

Li, Pan ; Tuzhilin, Alexander
IEEE Transactions on Knowledge and Data Engineering.  34 (2022)  8 - p. 3854-3866 , 2022
Link: https://doi.org/10.1109/..
 
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9

CARS: Workshop on Context-Aware Recommender Systems 2022:

, In: Proceedings of the 16th ACM Conference on Recommender Systems,
Adomavicius, Gediminas ; Bauman, Konstantin ; Mobasher, Bamshad... - p. 691-693 , 2022
Link: https://dl.acm.org/doi/1..
 
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10

Adversarial Learning for Cross Domain Recommendations:

Li, Pan ; Brost, Brian ; Tuzhilin, Alexander
ACM Transactions on Intelligent Systems and Technology.  14 (2022)  1 - p. 1-25 , 2022
Link: https://doi.org/10.1145/..
 
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11

Dual Attentive Sequential Learning for Cross-Domain Click-T..:

, In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining,
Li, Pan ; Jiang, Zhichao ; Que, Maofei.. - p. 3172-3180 , 2021
Link: https://dl.acm.org/doi/1..
 
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12

Context-Aware Recommender Systems: From Foundations to Rece..:

, In: Recommender Systems Handbook,
Adomavicius, Gediminas ; Bauman, Konstantin ; Tuzhilin, Alexander. - p. 211-250 , 2021
Link: https://doi.org/10.1007/..
 
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13

Dual Metric Learning for Effective and Efficient Cross-Doma..:

Li, Pan ; Tuzhilin, Alexander
IEEE Transactions on Knowledge and Data Engineering.  , 2021
Link: https://doi.org/10.1109/..
 
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14

Report on the fourth workshop on recommendation in complex ..:

Bogers, Toine ; Koolen, Marijn ; Mobasher, Bamshad..
ACM SIGIR Forum.  54 (2021)  2 - p. 1-7 , 2021
Link: https://dl.acm.org/doi/1..
 
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15

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

, In: Fifteenth ACM Conference on Recommender Systems,
Adomavicius, Gediminas ; Bauman, Konstantin ; Mobasher, Bamshad... - p. 813-814 , 2021
Link: https://dl.acm.org/doi/1..
 
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