Cover Image

LongRetriever: Towards Ultra-Long Sequence based Candidate Retrieval for Recommendation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ren, Qin, Chai, Zheng, Xiao, Xijun, Zheng, Yuchao, Wu, Di
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders
by: Chai, Zheng, et al.
Published: (2025)

Adaptive Domain Scaling for Personalized Sequential Modeling in Recommenders
by: Chai, Zheng, et al.
Published: (2025)

HyFormer: Revisiting the Roles of Sequence Modeling and Feature Interaction in CTR Prediction
by: Huang, Yunwen, et al.
Published: (2026)

User Long-Term Multi-Interest Retrieval Model for Recommendation
by: Meng, Yue, et al.
Published: (2025)

Large Memory Network for Recommendation
by: Lu, Hui, et al.
Published: (2025)

MixFormer: Co-Scaling Up Dense and Sequence in Industrial Recommenders
by: Huang, Xu, et al.
Published: (2026)

Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai
by: Feng, Zhichao, et al.
Published: (2024)

Towards Self-cognitive Exploration: Metacognitive Knowledge Graph Retrieval Augmented Generation
by: Yuan, Xujie, et al.
Published: (2025)

MSN: A Memory-based Sparse Activation Scaling Framework for Large-scale Industrial Recommendation
by: Wu, Shikang, et al.
Published: (2026)

Multimodal Fusion And Sparse Attention-based Alignment Model for Long Sequential Recommendation
by: Fu, Yongrui, et al.
Published: (2025)

Recurrent Preference Memory for Efficient Long-Sequence Generative Recommendation
by: Chen, Yixiao, et al.
Published: (2026)

RaSeRec: Retrieval-Augmented Sequential Recommendation
by: Zhao, Xinping, et al.
Published: (2024)

CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation
by: Wu, Junda, et al.
Published: (2024)

Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation
by: Lin, Xiao, et al.
Published: (2026)

Long-Sequence Recommendation Models Need Decoupled Embeddings
by: Feng, Ningya, et al.
Published: (2024)

Retrieval Augmented Conversational Recommendation with Reinforcement Learning
by: Yue, Zhenrui, et al.
Published: (2026)

Versioned Late Materialization for Ultra-Long Sequence Training in Recommendation Systems at Scale
by: Guo, Liang, et al.
Published: (2026)

On the Reproducibility of Learned Sparse Retrieval Adaptations for Long Documents
by: Lionis, Emmanouil Georgios, et al.
Published: (2025)

Efficient Long Context Language Model Retrieval with Compression
by: Seo, Minju, et al.
Published: (2024)

NoteLLM: A Retrievable Large Language Model for Note Recommendation
by: Zhang, Chao, et al.
Published: (2024)

AttentionRetriever: Attention Layers are Secretly Long Document Retrievers
by: Fu, David Jiahao, et al.
Published: (2026)

Bid Farewell to Seesaw: Towards Accurate Long-tail Session-based Recommendation via Dual Constraints of Hybrid Intents
by: Wang, Xiao, et al.
Published: (2025)

A Comprehensive Survey on Retrieval Methods in Recommender Systems
by: Huang, Junjie, et al.
Published: (2024)

Inductive Generative Recommendation via Retrieval-based Speculation
by: Ding, Yijie, et al.
Published: (2024)

Controlled Retrieval-augmented Context Evaluation for Long-form RAG
by: Ju, Jia-Huei, et al.
Published: (2025)

A Survey of Long-Document Retrieval in the PLM and LLM Era
by: Li, Minghan, et al.
Published: (2025)

RankGR: Rank-Enhanced Generative Retrieval with Listwise Direct Preference Optimization in Recommendation
by: Fu, Kairui, et al.
Published: (2026)

CROLoss: Towards a Customizable Loss for Retrieval Models in Recommender Systems
by: Tang, Yongxiang, et al.
Published: (2022)

Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized Recommendations
by: Huang, Junjie, et al.
Published: (2024)

TongSearch-QR: Reinforced Query Reasoning for Retrieval
by: Qin, Xubo, et al.
Published: (2025)

Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations
by: Li, Lei, et al.
Published: (2024)

Efficient Data Retrieval and Comparative Bias Analysis of Recommendation Algorithms for YouTube Shorts and Long-Form Videos
by: Dagtas, Selimhan, et al.
Published: (2025)

Towards Self-Evolving Agentic Literature Retrieval
by: Du, Yuwen, et al.
Published: (2026)

Empowering Retrieval-based Conversational Recommendation with Contrasting User Preferences
by: Kook, Heejin, et al.
Published: (2025)

Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation
by: Wang, Shijie, et al.
Published: (2025)

Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation
by: Wang, Chengbing, et al.
Published: (2024)

DualGR: Generative Retrieval with Long and Short-Term Interests Modeling
by: Yi, Zhongchao, et al.
Published: (2025)

On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models
by: Li, Dongyang, et al.
Published: (2024)

Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs
by: Gao, Cheng, et al.
Published: (2024)

GEMs: Breaking the Long-Sequence Barrier in Generative Recommendation with a Multi-Stream Decoder
by: Zhou, Yu, et al.
Published: (2026)