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. 2207.02643
  4. Cited By
Effective and Efficient Training for Sequential Recommendation using
  Recency Sampling

Effective and Efficient Training for Sequential Recommendation using Recency Sampling

6 July 2022
Aleksandr V. Petrov
Craig Macdonald
ArXivPDFHTML

Papers citing "Effective and Efficient Training for Sequential Recommendation using Recency Sampling"

13 / 13 papers shown
Title
DeBaTeR: Denoising Bipartite Temporal Graph for Recommendation
DeBaTeR: Denoising Bipartite Temporal Graph for Recommendation
Xinyu He
Jose Sepulveda
Mostafa Rahmani
Alyssa Woo
Fei Wang
Hanghang Tong
21
0
0
14 Nov 2024
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems
Hung Vinh Tran
Tong Chen
Quoc Viet Hung Nguyen
Zi-Rui Huang
Lizhen Cui
Hongzhi Yin
41
1
0
25 Jun 2024
Non-autoregressive Personalized Bundle Generation
Non-autoregressive Personalized Bundle Generation
Wenchuan Yang
Cheng Yang
Jichao Li
Yuejin Tan
Xin Lu
Chuan Shi
28
0
0
11 Jun 2024
Proxy-based Item Representation for Attribute and Context-aware
  Recommendation
Proxy-based Item Representation for Attribute and Context-aware Recommendation
Jinseok Seol
Minseok Gang
Sang-goo Lee
Jaehui Park
18
4
0
11 Dec 2023
Dynamic Collaborative Filtering for Matrix- and Tensor-based Recommender
  Systems
Dynamic Collaborative Filtering for Matrix- and Tensor-based Recommender Systems
Albert Saiapin
Ivan V. Oseledets
Evgeny Frolov
HAI
11
0
0
04 Dec 2023
Turning Dross Into Gold Loss: is BERT4Rec really better than SASRec?
Turning Dross Into Gold Loss: is BERT4Rec really better than SASRec?
Anton Klenitskiy
Alexey Vasilev
11
31
0
14 Sep 2023
gSASRec: Reducing Overconfidence in Sequential Recommendation Trained
  with Negative Sampling
gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling
Aleksandr V. Petrov
Craig Macdonald
21
33
0
14 Aug 2023
Investigating the Robustness of Sequential Recommender Systems Against
  Training Data Perturbations
Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations
Filippo Betello
F. Siciliano
Pushkar Mishra
Fabrizio Silvestri
AAML
21
6
0
24 Jul 2023
Integrating Item Relevance in Training Loss for Sequential Recommender
  Systems
Integrating Item Relevance in Training Loss for Sequential Recommender Systems
Andrea Bacciu
F. Siciliano
Nicola Tonellotto
Fabrizio Silvestri
NoLa
20
11
0
18 May 2023
Attention Mixtures for Time-Aware Sequential Recommendation
Attention Mixtures for Time-Aware Sequential Recommendation
Viet-Anh Tran
Guillaume Salha-Galvan
Bruno Sguerra
Romain Hennequin
28
21
0
17 Apr 2023
Improving Sequential Recommendation Models with an Enhanced Loss
  Function
Improving Sequential Recommendation Models with an Enhanced Loss Function
Fan Li
Shenbao Yu
Feng Zeng
Fang Yang
22
1
0
03 Jan 2023
A Systematic Review and Replicability Study of BERT4Rec for Sequential
  Recommendation
A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation
Aleksandr V. Petrov
Craig Macdonald
25
45
0
15 Jul 2022
Augmenting Sequential Recommendation with Pseudo-Prior Items via
  Reversely Pre-training Transformer
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer
Zhiwei Liu
Ziwei Fan
Yu Wang
Philip S. Yu
109
145
0
02 May 2021
1