Moshe Unger - RankMe

27 papers A* 1A 9Journal 12Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The Impact of LLM-Generated Reviews on Recommender Systems: Textual Shifts, Performance Effects, and Strategic Platform Control. CoRR Itzhak Ziv, Moshe Unger, Hilah Geva
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	J	`jnl`	Multi-View Graph Feature Propagation for Privacy Preservation and Feature Sparsity. CoRR Etzion Harari, Moshe Unger
2025	J	`jnl`	STARE: Predicting Decision Making Based on Spatio-Temporal Eye Movements. CoRR Moshe Unger, Alexander Tuzhilin, Michel Wedel
2025	A	`conf`	Workshop on Context-Aware Recommender Systems. RecSys Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger
2024	J	`jnl`	Predicting consumer choice from raw eye-movement data using the RETINA deep learning architecture. Data Min. Knowl. Discov. Moshe Unger, Michel Wedel, 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	J	`jnl`	Don't Need All Eggs in One Basket: Reconstructing Composite Embeddings of Customers from Individual-Domain Embeddings. ACM Trans. Manag. Inf. Syst. Moshe Unger, Pan Li, Sahana (Shahana) Sen, Alexander Tuzhilin
2023	A*	`conf`	Hierarchical Contextual Embeddings for Context-Aware Recommendations (Extended Abstract). ICDE Moshe Unger, Alexander Tuzhilin
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`	Hierarchical Latent Context Representation for Context-Aware Recommendations. IEEE Trans. Knowl. Data Eng. Moshe Unger, 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	J	`jnl`	Context-Aware Recommendations Based on Deep Learning Frameworks. ACM Trans. Manag. Inf. Syst. Moshe Unger, Alexander Tuzhilin, Amit Livne
2020	J	`jnl`	Sequence Preserving Network Traffic Generation. CoRR Sigal Shaked, Amos Zamir, Roman Vainshtein, Moshe Unger, Lior Rokach, Rami Puzis, Bracha Shapira
2020	A	`conf`	Workshop on Context-Aware Recommender Systems. RecSys Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
2019	J	`jnl`	Deep Context-Aware Recommender System Utilizing Sequential Latent Context. CoRR Amit Livne, Moshe Unger, Bracha Shapira, Lior Rokach
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`	Inferring contextual preferences using deep encoder-decoder learners. New Rev. Hypermedia Multim. Moshe Unger, Bracha Shapira, Lior Rokach, Amit Livne
2017	A	`conf`	Inferring Contextual Preferences Using Deep Auto-Encoding. UMAP Moshe Unger, Bracha Shapira, Lior Rokach, Ariel Bar
2016	—	`conf`	Deep Auto-Encoding for Context-Aware Inference of Preferred Items' Categories. RecSys Posters Moshe Unger, Bracha Shapira, Lior Rokach, Ariel Bar
2016	—	`conf`	Identifying Attack Propagation Patterns in Honeypots Using Markov Chains Modeling and Complex Networks Analysis. SwSTE Ariel Bar, Bracha Shapira, Lior Rokach, Moshe Unger
2016	—	`conf`	Scalable attack propagation model and algorithms for honeypot systems. IEEE BigData Ariel Bar, Bracha Shapira, Lior Rokach, Moshe Unger
2016	J	`jnl`	Towards latent context-aware recommendation systems. Knowl. Based Syst. Moshe Unger, Ariel Bar, Bracha Shapira, Lior Rokach
2015	A	`conf`	Latent Context-Aware Recommender Systems. RecSys Moshe Unger
2014	—	`conf`	Contexto: lessons learned from mobile context inference. UbiComp Adjunct Moshe Unger, Lior Rokach, Ariel Bar, Ehud Gudes, Bracha Shapira