Amit Livne

According to our database, Amit Livne authored at least 12 papers between 2018 and 2024.

Collaborative distances:

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

2024

Workshop on Recommenders in Tourism (RecTour) 2024.

Julia Neidhardt, Tsvi Kuflik, Amit Livne, Markus Zanker

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

2023

Promoting Tail Item Recommendations in E-Commerce.

Tamar Didi, Ido Guy, Amit Livne, Arnon Dagan, Lior Rokach, Bracha Shapira

Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 2023

2022

Evolving context-aware recommender systems with users in mind.

Amit Livne, Eliad Shem Tov, Adir Solomon, Achiya Elyasaf, Bracha Shapira, Lior Rokach

Expert Syst. Appl., 2022

Investigating the Value of Subtitles for Improved Movie Recommendations.

Sagi Eden, Amit Livne, Oren Sar Shalom, Bracha Shapira, Dietmar Jannach

Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

BRUCE: Bundle Recommendation Using Contextualized item Embeddings.

Tzoof Avny Brosh, Amit Livne, Oren Sar Shalom, Bracha Shapira, Mark Last

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2021

Analyzing movement predictability using human attributes and behavioral patterns.

Adir Solomon, Amit Livne, Gilad Katz, Bracha Shapira, Lior Rokach

Comput. Environ. Urban Syst., 2021

Deep Recommender Systems Utilizing Side Information.

Amit Livne

Proceedings of the WSDM '21, 2021

BNN: Boosting Neural Network Framework Utilizing Limited Amount of Data.

Amit Livne, Roy Dor, Bracha Shapira, Lior Rokach

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Context-Aware Recommendations Based on Deep Learning Frameworks.

Moshe Unger, Alexander Tuzhilin, Amit Livne

ACM Trans. Manag. Inf. Syst., 2020

Iterative Boosting Deep Neural Networks for Predicting Click-Through Rate.

Amit Livne, Roy Dor, Eyal Mazuz, Tamar Didi, Bracha Shapira, Lior Rokach

CoRR, 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