Amit Livne - RankMe

19 papers A 8Journal 7Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Converted Data is All You Need for Causal Optimization of e-Commerce Promotions. CIKM Dmitri Goldenberg, Hugo Manuel Proença, Amit Livne, Felipe Moraes, Javier Albert, Bracha Shapira
2025	—	`ed.`	Proceedings of the Workshop on Recommenders in Tourism co-located with the 19th ACM Conference on Recommender Systems (RecSys 2025), Prague, Czech Republic, September 22, 2025. RecTour@RecSys Julia Neidhardt, Tsvi Kuflik, Amit Livne, Markus Zanker, Wolfgang Wörndl
2025	A	`conf`	Workshop on Recommenders in Tourism (RecTour) 2025. RecSys Julia Neidhardt, Tsvi Kuflik, Amit Livne, Markus Zanker, Wolfgang Wörndl
2024	—	`conf`	Booking.com RecSys RecTour 2024 Challenge. RecTour@RecSys Amit Livne, Eran Fainman
2024	—	`conf`	Lifecycle of Promotional Campaigns in the Online Travel Industry. RecTour@RecSys Carlos Herrero, Amit Livne, Itsik Adiv, Hugo Manuel Proença, Felipe Moraes, Javier Albert, Dima Goldenberg
2024	—	`ed.`	Proceedings of the Workshop on Recommenders in Tourism co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024), Bari, Italy, September 18, 2024. RecTour@RecSys Julia Neidhardt, Tsvi Kuflik, Amit Livne, Markus Zanker
2024	A	`conf`	Workshop on Recommenders in Tourism (RecTour) 2024. RecSys Julia Neidhardt, Tsvi Kuflik, Amit Livne, Markus Zanker
2023	A	`conf`	Promoting Tail Item Recommendations in E-Commerce. UMAP Tamar Didi, Ido Guy, Amit Livne, Arnon Dagan, Lior Rokach, Bracha Shapira
2022	A	`conf`	BRUCE: Bundle Recommendation Using Contextualized item Embeddings. RecSys Tzoof Avny Brosh, Amit Livne, Oren Sar Shalom, Bracha Shapira, Mark Last
2022	J	`jnl`	Evolving context-aware recommender systems with users in mind. Expert Syst. Appl. Amit Livne, Eliad Shem Tov, Adir Solomon, Achiya Elyasaf, Bracha Shapira, Lior Rokach
2022	A	`conf`	Investigating the Value of Subtitles for Improved Movie Recommendations. UMAP Sagi Eden, Amit Livne, Oren Sar Shalom, Bracha Shapira, Dietmar Jannach
2021	J	`jnl`	Analyzing movement predictability using human attributes and behavioral patterns. Comput. Environ. Urban Syst. Adir Solomon, Amit Livne, Gilad Katz, Bracha Shapira, Lior Rokach
2021	A	`conf`	BNN: Boosting Neural Network Framework Utilizing Limited Amount of Data. CIKM Amit Livne, Roy Dor, Bracha Shapira, Lior Rokach
2021	A	`conf`	Deep Recommender Systems Utilizing Side Information. WSDM Amit Livne
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`	Evolving Context-Aware Recommender Systems With Users in Mind. CoRR Amit Livne, Eliad Shem Tov, Adir Solomon, Achiya Elyasaf, Bracha Shapira, Lior Rokach
2020	J	`jnl`	Iterative Boosting Deep Neural Networks for Predicting Click-Through Rate. CoRR Amit Livne, Roy Dor, Eyal Mazuz, Tamar Didi, Bracha Shapira, Lior Rokach
2019	J	`jnl`	Deep Context-Aware Recommender System Utilizing Sequential Latent Context. CoRR Amit Livne, Moshe Unger, Bracha Shapira, Lior Rokach
2018	J	`jnl`	Inferring contextual preferences using deep encoder-decoder learners. New Rev. Hypermedia Multim. Moshe Unger, Bracha Shapira, Lior Rokach, Amit Livne