Moshe Unger

According to our database, Moshe Unger authored at least 21 papers between 2014 and 2024.

Collaborative distances:

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

2024

Predicting consumer choice from raw eye-movement data using the RETINA deep learning architecture.

Moshe Unger, Michel Wedel, Alexander Tuzhilin

Data Min. Knowl. Discov., May, 2024

Workshop on Context-Aware Recommender Systems (CARS) 2024.

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

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

Don't Need All Eggs in One Basket: Reconstructing Composite Embeddings of Customers from Individual-Domain Embeddings.

Moshe Unger, Pan Li, Sahana (Shahana) Sen, Alexander Tuzhilin

ACM Trans. Manag. Inf. Syst., June, 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

Hierarchical Contextual Embeddings for Context-Aware Recommendations (Extended Abstract).

Moshe Unger, Alexander Tuzhilin

Proceedings of the 39th IEEE International Conference on Data Engineering, 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

Hierarchical Latent Context Representation for Context-Aware Recommendations.

Moshe Unger, Alexander Tuzhilin

IEEE Trans. Knowl. Data Eng., 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

Context-Aware Recommendations Based on Deep Learning Frameworks.

Moshe Unger, Alexander Tuzhilin, Amit Livne

ACM Trans. Manag. Inf. Syst., 2020

Sequence Preserving Network Traffic Generation.

Sigal Shaked, Amos Zamir, Roman Vainshtein, Moshe Unger, Lior Rokach, Rami Puzis, Bracha Shapira

CoRR, 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

2019

Deep Context-Aware Recommender System Utilizing Sequential Latent Context.

Amit Livne, Moshe Unger, Bracha Shapira, Lior Rokach

CoRR, 2019

2018

Inferring contextual preferences using deep encoder-decoder learners.

Moshe Unger, Bracha Shapira, Lior Rokach, Amit Livne

New Rev. Hypermedia Multim., 2018

2017

Inferring Contextual Preferences Using Deep Auto-Encoding.

Moshe Unger, Bracha Shapira, Lior Rokach, Ariel Bar

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

2016

Towards latent context-aware recommendation systems.

Moshe Unger, Ariel Bar, Bracha Shapira, Lior Rokach

Knowl. Based Syst., 2016

Identifying Attack Propagation Patterns in Honeypots Using Markov Chains Modeling and Complex Networks Analysis.

Ariel Bar, Bracha Shapira, Lior Rokach, Moshe Unger

Proceedings of the 2016 IEEE International Conference on Software Science, 2016

Deep Auto-Encoding for Context-Aware Inference of Preferred Items' Categories.

Moshe Unger, Bracha Shapira, Lior Rokach, Ariel Bar

Proceedings of the Poster Track of the 10th ACM Conference on Recommender Systems (RecSys 2016), 2016

Scalable attack propagation model and algorithms for honeypot systems.

Ariel Bar, Bracha Shapira, Lior Rokach, Moshe Unger

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Latent Context-Aware Recommender Systems.

Moshe Unger

Proceedings of the 9th ACM Conference on Recommender Systems, 2015

2014

Contexto: lessons learned from mobile context inference.

Moshe Unger, Lior Rokach, Ariel Bar, Ehud Gudes, Bracha Shapira

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014