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Amit Livne
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2020 – today
- 2024
- [c6]Julia Neidhardt
, Tsvi Kuflik
Workshop on Recommenders in Tourism (RecTour) 2024. RecSys 2024: 1229-1231 - 2023
- [c5]Tamar Didi
Promoting Tail Item Recommendations in E-Commerce. UMAP 2023: 194-203 - 2022
- [j4]Amit Livne
Evolving context-aware recommender systems with users in mind. Expert Syst. Appl. 189: 116042 (2022) - [c4]Tzoof Avny Brosh, Amit Livne, Oren Sar Shalom, Bracha Shapira
BRUCE: Bundle Recommendation Using Contextualized item Embeddings. RecSys 2022: 237-245 - [c3]Sagi Eden, Amit Livne, Oren Sar Shalom, Bracha Shapira
Investigating the Value of Subtitles for Improved Movie Recommendations. UMAP 2022: 99-109 - 2021
- [j3]Adir Solomon, Amit Livne, Gilad Katz, Bracha Shapira
Analyzing movement predictability using human attributes and behavioral patterns. Comput. Environ. Urban Syst. 87: 101596 (2021) - [c2]Amit Livne, Roy Dor, Bracha Shapira
BNN: Boosting Neural Network Framework Utilizing Limited Amount of Data. CIKM 2021: 1150-1159 - [c1]Amit Livne:
Deep Recommender Systems Utilizing Side Information. WSDM 2021: 1111-1112 - 2020
- [j2]Moshe Unger
Context-Aware Recommendations Based on Deep Learning Frameworks. ACM Trans. Manag. Inf. Syst. 11(2): 8:1-8:15 (2020) - [i3]Amit Livne, Roy Dor, Eyal Mazuz, Tamar Didi, Bracha Shapira, Lior Rokach:
Iterative Boosting Deep Neural Networks for Predicting Click-Through Rate. CoRR abs/2007.13087 (2020) - [i2]Amit Livne, Eliad Shem Tov, Adir Solomon, Achiya Elyasaf
Evolving Context-Aware Recommender Systems With Users in Mind. CoRR abs/2007.15409 (2020)
2010 – 2019
- 2019
- [i1]Amit Livne, Moshe Unger, Bracha Shapira, Lior Rokach:
Deep Context-Aware Recommender System Utilizing Sequential Latent Context. CoRR abs/1909.03999 (2019) - 2018
- [j1]Moshe Unger
Inferring contextual preferences using deep encoder-decoder learners. New Rev. Hypermedia Multim. 24(3): 262-290 (2018)
Coauthor Index
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