Moshe Unger

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 18

Top Topics

Context Aware Services

Recommender Systems

Top Venues

ACM Trans. Manag. Inf. Syst.

Publications

Moshe Unger, Michel Wedel, Alexander Tuzhilin
Predicting consumer choice from raw eye-movement data using the RETINA deep learning architecture. Data Min. Knowl. Discov. 38 (3) (2024)
Moshe Unger, Alexander Tuzhilin
Hierarchical Contextual Embeddings for Context-Aware Recommendations (Extended Abstract). ICDE (2023)
Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger
Workshop on Context-Aware Recommender Systems 2023. RecSys (2023)
Moshe Unger, Pan Li, Sahana (Shahana) Sen, Alexander Tuzhilin
Don't Need All Eggs in One Basket: Reconstructing Composite Embeddings of Customers from Individual-Domain Embeddings. ACM Trans. Manag. Inf. Syst. 14 (2) (2023)
Moshe Unger, Alexander Tuzhilin
Hierarchical Latent Context Representation for Context-Aware Recommendations. IEEE Trans. Knowl. Data Eng. 34 (7) (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)
Sigal Shaked, Amos Zamir, Roman Vainshtein, Moshe Unger, Lior Rokach, Rami Puzis, Bracha Shapira
Sequence Preserving Network Traffic Generation. CoRR (2020)
Moshe Unger, Alexander Tuzhilin, Amit Livne
Context-Aware Recommendations Based on Deep Learning Frameworks. ACM Trans. Manag. Inf. Syst. 11 (2) (2020)
Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
Workshop on context-aware recommender systems. RecSys (2019)
Amit Livne, Moshe Unger, Bracha Shapira, Lior Rokach
Deep Context-Aware Recommender System Utilizing Sequential Latent Context. CoRR (2019)
Moshe Unger, Bracha Shapira, Lior Rokach, Amit Livne
Inferring contextual preferences using deep encoder-decoder learners. New Rev. Hypermedia Multim. 24 (3) (2018)
Moshe Unger, Bracha Shapira, Lior Rokach, Ariel Bar
Inferring Contextual Preferences Using Deep Auto-Encoding. UMAP (2017)
Moshe Unger, Ariel Bar, Bracha Shapira, Lior Rokach
Towards latent context-aware recommendation systems. Knowl. Based Syst. 104 (2016)
Ariel Bar, Bracha Shapira, Lior Rokach, Moshe Unger
Scalable attack propagation model and algorithms for honeypot systems. IEEE BigData (2016)
Moshe Unger, Bracha Shapira, Lior Rokach, Ariel Bar
Deep Auto-Encoding for Context-Aware Inference of Preferred Items' Categories. RecSys Posters (2016)
Ariel Bar, Bracha Shapira, Lior Rokach, Moshe Unger
Identifying Attack Propagation Patterns in Honeypots Using Markov Chains Modeling and Complex Networks Analysis. SwSTE (2016)
Moshe Unger
Latent Context-Aware Recommender Systems. RecSys (2015)
Moshe Unger, Lior Rokach, Ariel Bar, Ehud Gudes, Bracha Shapira
Contexto: lessons learned from mobile context inference. UbiComp Adjunct (2014)