Turning Dross Into Gold Loss: is BERT4Rec really better than SASRec?

ACM Conference on Recommender Systems (RecSys), 2023

14 September 2023

Anton Klenitskiy

Alexey Vasilev

Papers citing "Turning Dross Into Gold Loss: is BERT4Rec really better than SASRec?"

28 / 28 papers shown

Title
Barlow Twins for Sequential Recommendation Ivan Razvorotnev Marina Munkhoeva Evgeny Frolov 84 0 0 30 Oct 2025
Revisiting scalable sequential recommendation with Multi-Embedding Approach and Mixture-of-Experts Qiushi Pan Hao Wang Guoyuan An Luankang Zhang Wei Guo Yong Liu 96 0 0 29 Oct 2025
Multi-Item-Query Attention for Stable Sequential Recommendation Mingshi Xu Haoren Zhu Wilfred Siu Hung Ng 68 0 0 29 Sep 2025
Unified Representation Learning for Multi-Intent Diversity and Behavioral Uncertainty in Recommender Systems Wei Xu Jiasen Zheng Junjiang Lin Mingxuan Han Junliang Du 109 7 0 04 Sep 2025
Benefiting from Negative yet Informative Feedback by Contrasting Opposing Sequential PatternsACM Conference on Recommender Systems (RecSys), 2025 Veronika Ivanova Evgeny Frolov Alexey Vasilev 76 0 0 20 Aug 2025
FuXi-β: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model Yufei Ye Wei Guo Hao Wang Hong Zhu Yuyang Ye Yong Liu Huifeng Guo Ruiming Tang Defu Lian Tong Xu 122 2 0 14 Aug 2025
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 152 0 0 13 Aug 2025
Closing the Performance Gap in Generative Recommenders with Collaborative Tokenization and Efficient Modeling Simon Lepage Jérémie Mary David Picard 104 1 0 12 Aug 2025
Recommendation Is a Dish Better Served WarmACM Conference on Recommender Systems (RecSys), 2025 Danil I. Gusak Nikita Sukhorukov Evgeny Frolov 132 1 0 11 Aug 2025
Let It Go? Not Quite: Addressing Item Cold Start in Sequential Recommendations with Content-Based InitializationACM Conference on Recommender Systems (RecSys), 2025 Anton Pembek Artem Fatkulin Anton Klenitskiy Alexey Vasilev CLL 122 1 0 25 Jul 2025
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 154 5 0 22 Jul 2025
Correcting the LogQ Correction: Revisiting Sampled Softmax for Large-Scale RetrievalACM Conference on Recommender Systems (RecSys), 2025 Kirill Khrylchenko Vladimir Baikalov Sergei Makeev Artem Matveev Sergei Liamaev 100 1 0 12 Jul 2025
Unlocking the Power of Diffusion Models in Sequential Recommendation: A Simple and Effective ApproachKnowledge Discovery and Data Mining (KDD), 2025 Jialei Chen Yuanbo Xu Yiheng Jiang 98 2 0 26 May 2025
Efficient Recommendation with Millions of Items by Dynamic Pruning of Sub-Item EmbeddingsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025 Aleksandr V. Petrov Craig MacDonald Nicola Tonellotto 223 2 0 01 May 2025
Revisiting Self-Attentive Sequential Recommendation Zan Huang BDL 142 0 0 13 Apr 2025
$FuXi-$\alpha$: Scaling Recommendation Model with Feature Interaction Enhanced Transformer$ FuXi- $\alpha$ : Scaling Recommendation Model with Feature Interaction Enhanced TransformerThe Web Conference (WWW), 2025 Yufei Ye Wei Guo Jin Yao Chin Hao Wang Hong Zhu ... Yuyang Ye Yixiao Liu Ruiming Tang Defu Lian Tong Xu 280 10 0 05 Feb 2025
Preference Diffusion for RecommendationInternational Conference on Learning Representations (ICLR), 2024 Shuo Liu An Zhang Guoqing Hu Hong Qian Tat-Seng Chua 410 8 0 17 Oct 2024
Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item CatalogsACM Conference on Recommender Systems (RecSys), 2024 Gleb Mezentsev Danil I. Gusak Ivan Oseledets Evgeny Frolov 176 14 0 27 Sep 2024
Autoregressive Generation Strategies for Top-K Sequential Recommendations Anna Volodkevich Danil Gusak Anton Klenitskiy Alexey Vasilev 118 4 0 26 Sep 2024
RePlay: a Recommendation Framework for Experimentation and Production UseACM Conference on Recommender Systems (RecSys), 2024 Alexey Vasilev Anna Volodkevich Denis Kulandin Tatiana Bysheva Anton Klenitskiy 170 6 0 11 Sep 2024
Does It Look Sequential? An Analysis of Datasets for Evaluation of Sequential RecommendationsACM Conference on Recommender Systems (RecSys), 2024 Anton Klenitskiy Anna Volodkevich Anton Pembek Alexey Vasilev 126 19 0 21 Aug 2024
RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential RecommendersInternational Conference on Information and Knowledge Management (CIKM), 2024 Danil I. Gusak Gleb Mezentsev Ivan Oseledets Evgeny Frolov 293 8 0 05 Aug 2024
Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential RecommendationInternational Conference on Information and Knowledge Management (CIKM), 2024 Hyunsik Jeon Se-eun Yoon Julian McAuley 198 4 0 04 Aug 2024
Exploiting Preferences in Loss Functions for Sequential Recommendation via Weak TransitivityInternational Conference on Information and Knowledge Management (CIKM), 2024 H. Chung Jungtaek Kim Hyungeun Jo Hyungwon Choi 223 0 0 01 Aug 2024
SimCE: Simplifying Cross-Entropy Loss for Collaborative Filtering Xiaodong Yang Huiyuan Chen Yuchen Yan Yuxin Tang Yuying Zhao Eric Xu Yiwei Cai Hanghang Tong 112 7 0 23 Jun 2024
End-to-End Graph-Sequential Representation Learning for Accurate Recommendations Vladimir Baikalov Evgeny Frolov 184 6 0 01 Mar 2024
Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations Jiaqi Zhai Lucy Liao Xing Liu Yueming Wang Rui Li ... Zhaojie Gong Fangda Gu Michael He Yin-Hua Lu Yu Shi OffRL 277 127 0 27 Feb 2024
To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential RecommendersWeb Search and Data Mining (WSDM), 2023 Haw-Shiuan Chang Nikhil Agarwal Andrew McCallum 170 6 0 21 Oct 2023