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Scalable Cross-Entropy Loss for Sequential Recommendations with Large
  Item Catalogs

Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs

ACM Conference on Recommender Systems (RecSys), 2024
27 September 2024
Gleb Mezentsev
Danil I. Gusak
Ivan Oseledets
Evgeny Frolov
ArXiv (abs)PDFHTMLGithub

Papers citing "Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs"

8 / 8 papers shown
Relative-Based Scaling Law for Neural Language Models
Relative-Based Scaling Law for Neural Language Models
Baoqing Yue
Jinyuan Zhou
Zixi Wei
Jingtao Zhan
Qingyao Ai
Yiqun Liu
185
0
0
23 Oct 2025
How to model Human Actions distribution with Event Sequence Data
How to model Human Actions distribution with Event Sequence Data
Egor Surkov
Dmitry Osin
Evgeny Burnaev
Egor Shvetsov
AI4TS
163
1
0
07 Oct 2025
Ultra Fast Warm Start Solution for Graph Recommendations
Ultra Fast Warm Start Solution for Graph Recommendations
Viacheslav Yusupov
Maxim Rakhuba
Evgeny Frolov
170
1
0
01 Sep 2025
Benefiting from Negative yet Informative Feedback by Contrasting Opposing Sequential Patterns
Benefiting from Negative yet Informative Feedback by Contrasting Opposing Sequential PatternsACM Conference on Recommender Systems (RecSys), 2025
Veronika Ivanova
Evgeny Frolov
Alexey Vasilev
123
0
0
20 Aug 2025
Faster and Memory-Efficient Training of Sequential Recommendation Models for Large Catalogs
Faster and Memory-Efficient Training of Sequential Recommendation Models for Large Catalogs
Maxim Zhelnin
Dmitry Redko
Volkov Daniil
Anna Volodkevich
P. Sokerin
...
Egor Shvetsov
Alexey Vasilev
Darya Denisova
Ruslan Izmailov
Alexey Zaytsev
250
0
0
13 Aug 2025
Recommendation Is a Dish Better Served Warm
Recommendation Is a Dish Better Served WarmACM Conference on Recommender Systems (RecSys), 2025
Danil I. Gusak
Nikita Sukhorukov
Evgeny Frolov
185
3
0
11 Aug 2025
Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders
Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential RecommendersACM Conference on Recommender Systems (RecSys), 2025
Danil I. Gusak
Anna Volodkevich
Anton Klenitskiy
Alexey Vasilev
Evgeny Frolov
254
10
0
22 Jul 2025
Scaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss Functions
Scaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss FunctionsACM Conference on Recommender Systems (RecSys), 2023
Timo Wilm
Philipp Normann
Sophie Baumeister
Paul-Vincent Kobow
258
23
0
27 Jul 2023
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