ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2309.07602
  4. Cited By
Turning Dross Into Gold Loss: is BERT4Rec really better than SASRec?

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

14 September 2023
Anton Klenitskiy
Alexey Vasilev
ArXivPDFHTML

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

15 / 15 papers shown
Title
Efficient Recommendation with Millions of Items by Dynamic Pruning of Sub-Item Embeddings
Efficient Recommendation with Millions of Items by Dynamic Pruning of Sub-Item Embeddings
Aleksandr V. Petrov
Craig MacDonald
Nicola Tonellotto
41
0
0
01 May 2025
Revisiting Self-Attentive Sequential Recommendation
Revisiting Self-Attentive Sequential Recommendation
Zan Huang
BDL
57
0
0
13 Apr 2025
FuXi-$\alpha$: Scaling Recommendation Model with Feature Interaction Enhanced Transformer
FuXi-α\alphaα: Scaling Recommendation Model with Feature Interaction Enhanced Transformer
Yufei Ye
Wei Guo
Jin Yao Chin
Hao Wang
Hong Zhu
...
Yuyang Ye
Yixiao Liu
Ruiming Tang
Defu Lian
Enhong Chen
111
2
0
05 Feb 2025
Preference Diffusion for Recommendation
Preference Diffusion for Recommendation
Shuo Liu
An Zhang
Guoqing Hu
Hong Qian
Tat-Seng Chua
63
1
0
17 Oct 2024
Scalable Cross-Entropy Loss for Sequential Recommendations with Large
  Item Catalogs
Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs
Gleb Mezentsev
Danil I. Gusak
Ivan Oseledets
Evgeny Frolov
41
2
0
27 Sep 2024
Autoregressive Generation Strategies for Top-K Sequential
  Recommendations
Autoregressive Generation Strategies for Top-K Sequential Recommendations
Anna Volodkevich
Danil Gusak
Anton Klenitskiy
Alexey Vasilev
31
0
0
26 Sep 2024
RePlay: a Recommendation Framework for Experimentation and Production
  Use
RePlay: a Recommendation Framework for Experimentation and Production Use
Alexey Vasilev
Anna Volodkevich
Denis Kulandin
Tatiana Bysheva
Anton Klenitskiy
36
0
0
11 Sep 2024
Does It Look Sequential? An Analysis of Datasets for Evaluation of
  Sequential Recommendations
Does It Look Sequential? An Analysis of Datasets for Evaluation of Sequential Recommendations
Anton Klenitskiy
Anna Volodkevich
Anton Pembek
Alexey Vasilev
28
7
0
21 Aug 2024
RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential
  Recommenders
RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential Recommenders
Danil I. Gusak
Gleb Mezentsev
Ivan Oseledets
Evgeny Frolov
57
3
0
05 Aug 2024
Calibration-Disentangled Learning and Relevance-Prioritized Reranking
  for Calibrated Sequential Recommendation
Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential Recommendation
Hyunsik Jeon
Se-eun Yoon
Julian McAuley
50
1
0
04 Aug 2024
Exploiting Preferences in Loss Functions for Sequential Recommendation
  via Weak Transitivity
Exploiting Preferences in Loss Functions for Sequential Recommendation via Weak Transitivity
H. Chung
Jungtaek Kim
Hyungeun Jo
Hyungwon Choi
55
0
0
01 Aug 2024
SimCE: Simplifying Cross-Entropy Loss for Collaborative Filtering
SimCE: Simplifying Cross-Entropy Loss for Collaborative Filtering
Xiaodong Yang
Huiyuan Chen
Yuchen Yan
Yuxin Tang
Yuying Zhao
Eric Xu
Yiwei Cai
Hanghang Tong
28
3
0
23 Jun 2024
End-to-End Graph-Sequential Representation Learning for Accurate
  Recommendations
End-to-End Graph-Sequential Representation Learning for Accurate Recommendations
Vladimir Baikalov
Evgeny Frolov
31
2
0
01 Mar 2024
Actions Speak Louder than Words: Trillion-Parameter Sequential
  Transducers for Generative Recommendations
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
37
51
0
27 Feb 2024
To Copy, or not to Copy; That is a Critical Issue of the Output Softmax
  Layer in Neural Sequential Recommenders
To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders
Haw-Shiuan Chang
Nikhil Agarwal
Andrew McCallum
33
4
0
21 Oct 2023
1