Cover Image

Scaling Sequential Recommendation Models with Transformers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zivic, Pablo, Vazquez, Hernan, Sanchez, Jorge
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Revisiting Graph Projections for Effective Complementary Product Recommendation
by: Anghinoni, Leandro, et al.
Published: (2025)

Integrating Hyperparameter Search into Model-Free AutoML with Context-Free Grammars
by: Vázquez, Hernán Ceferino, et al.
Published: (2024)

Bridging User Dynamics: Transforming Sequential Recommendations with Schrödinger Bridge and Diffusion Models
by: Xie, Wenjia, et al.
Published: (2024)

Contrastive Learning on Medical Intents for Sequential Prescription Recommendation
by: Moghaddam, Arya Hadizadeh, et al.
Published: (2024)

Adaptive Weighted Loss for Sequential Recommendations on Sparse Domains
by: Mittal, Akshay, et al.
Published: (2025)

Empowering Contrastive Federated Sequential Recommendation with LLMs
by: Nguyen, Thi Minh Chau, et al.
Published: (2026)

Does It Look Sequential? An Analysis of Datasets for Evaluation of Sequential Recommendations
by: Klenitskiy, Anton, et al.
Published: (2024)

Sparse Autoencoders for Sequential Recommendation Models: Interpretation and Flexible Control
by: Klenitskiy, Anton, et al.
Published: (2025)

Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations
by: Parambath, Shameem A. Puthiya, et al.
Published: (2021)

EchoMamba4Rec: Harmonizing Bidirectional State Space Models with Spectral Filtering for Advanced Sequential Recommendation
by: Wang, Yuda, et al.
Published: (2024)

PRISM: Purified Representation and Integrated Semantic Modeling for Generative Sequential Recommendation
by: Fang, Dengzhao, et al.
Published: (2026)

Beyond Autoregressive RTG: Conditioning via Injection Outside Sequential Modeling in Decision Transformer
by: Wang, Yongyi, et al.
Published: (2026)

HoReN: Normalized Hopfield Retrieval for Large-Scale Sequential Model Editing
by: Fang, Yuan, et al.
Published: (2026)

LoKA: Low-precision Kernel Applications for Recommendation Models At Scale
by: Luo, Liang, et al.
Published: (2026)

Zenith: Scaling up Ranking Models for Billion-scale Livestreaming Recommendation
by: Zhang, Ruifeng, et al.
Published: (2026)

Wukong: Towards a Scaling Law for Large-Scale Recommendation
by: Zhang, Buyun, et al.
Published: (2024)

Understanding the Training and Generalization of Pretrained Transformer for Sequential Decision Making
by: Wang, Hanzhao, et al.
Published: (2024)

Multi-Item-Query Attention for Stable Sequential Recommendation
by: Xu, Mingshi, et al.
Published: (2025)

Robust Reinforcement Learning Objectives for Sequential Recommender Systems
by: Mozifian, Melissa, et al.
Published: (2023)

CHORD: Customizing Hybrid-precision On-device Model for Sequential Recommendation with Device-cloud Collaboration
by: Liu, Tianqi, et al.
Published: (2025)

Generative Sequential Notification Optimization via Multi-Objective Decision Transformers
by: Ocejo, Borja, et al.
Published: (2025)

Continuity Laws for Sequential Models
by: Yu, Annan, et al.
Published: (2026)

End-to-End Graph-Sequential Representation Learning for Accurate Recommendations
by: Baikalov, Vladimir, et al.
Published: (2024)

TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation
by: Shin, Yehjin, et al.
Published: (2025)

An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention
by: Shin, Yehjin, et al.
Published: (2023)

Position-Aware Sequential Attention for Accurate Next Item Recommendations
by: Nabiev, Timur, et al.
Published: (2026)

GenRec: Generative Sequential Recommendation with Large Language Models
by: Cao, Panfeng, et al.
Published: (2024)

Lightweight Sequential Transformers for Blood Glucose Level Prediction in Type-1 Diabetes
by: Barbato, Mirko Paolo, et al.
Published: (2025)

Scaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss Functions
by: Wilm, Timo, et al.
Published: (2023)

Potent but Stealthy: Rethink Profile Pollution against Sequential Recommendation via Bi-level Constrained Reinforcement Paradigm
by: Su, Jiajie, et al.
Published: (2025)

Sequential LLM Framework for Fashion Recommendation
by: Liu, Han, et al.
Published: (2024)

Sequential Enumeration in Large Language Models
by: Hou, Kuinan, et al.
Published: (2025)

MarkovScale: Towards Optimal Sequential Scaling at Inference Time
by: Wang, Youkang, et al.
Published: (2026)

BanditLP: Large-Scale Stochastic Optimization for Personalized Recommendations
by: Nguyen, Phuc, et al.
Published: (2026)

Sequential Recommendation via Adaptive Robust Attention with Multi-dimensional Embeddings
by: Pang, Linsey, et al.
Published: (2024)

ScaleViz: Scaling Visualization Recommendation Models on Large Data
by: Ahmad, Ghazi Shazan, et al.
Published: (2024)

Multiplicative Orthogonal Sequential Editing for Language Models
by: Xu, Hao-Xiang, et al.
Published: (2026)

DSL: Understanding and Improving Softmax Recommender Systems with Competition-Aware Scaling
by: Sahyouni, Bucher, et al.
Published: (2026)

Decision Transformer vs. Decision Mamba: Analysing the Complexity of Sequential Decision Making in Atari Games
by: Yan, Ke
Published: (2024)

Probing the Impact of Scale on Data-Efficient, Generalist Transformer World Models for Atari
by: Kim, Jooyeon
Published: (2026)