Yotam Eshel

According to our database, Yotam Eshel authored at least 9 papers between 2017 and 2025.

Collaborative distances:

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

2025

Enhancing Data Annotation for Student Models: A Self-Training Approach with Large Language Models.

Gilad Fuchs, Alexander Nus, Yotam Eshel, Bracha Shapira

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation.

Guy Hadad, Haggai Roitman, Yotam Eshel, Bracha Shapira, Lior Rokach

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Personalized Interest Graphs for Theme-Driven User Behavior.

Oded Zinman, Nazmul Chowdhury, Leandro Fiaschetti, Yuri M. Brovman, Guy Feigenblat, Yotam Eshel

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Large Scale E-Commerce Model for Learning and Analyzing Long-Term User Preferences.

Yonatan Hadar, Yotam Eshel, Tal Franji, Bracha Shapira, Michelle Hwang, Guy Feigenblat

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

2024

Personalized Ordering of Recommendation-Modules on an E-Commerce Homepage.

Haggai Roitman, Alexander Nus, Yotam Eshel

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2022

Learning to Diversify for Product Question Generation.

Haggai Roitman, Uriel Singer, Yotam Eshel, Alexander Nus, Eliyahu Kiperwasser

CoRR, 2022

Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-Commerce.

Uriel Singer, Haggai Roitman, Yotam Eshel, Alexander Nus, Ido Guy, Or Levi, Idan Hasson, Eliyahu Kiperwasser

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021

PreSizE: Predicting Size in E-Commerce using Transformers.

Yotam Eshel, Or Levi, Haggai Roitman, Alexander Nus

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2017

Named Entity Disambiguation for Noisy Text.

Yotam Eshel, Noam Cohen, Kira Radinsky, Shaul Markovitch, Ikuya Yamada, Omer Levy

Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017