Cover Image

Real-time Indexing for Large-scale Recommendation by Streaming Vector Quantization Retriever

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bin, Xingyan, Cui, Jianfei, Yan, Wujie, Zhao, Zhichen, Han, Xintian, Yan, Chongyang, Zhang, Feng, Zhou, Xun, Wu, Qi, Liu, Zuotao
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

Trinity: Syncretizing Multi-/Long-tail/Long-term Interests All in One
by: Yan, Jing, et al.
Published: (2024)

Interest Clock: Time Perception in Real-Time Streaming Recommendation System
by: Zhu, Yongchun, et al.
Published: (2024)

Long-Term Interest Clock: Fine-Grained Time Perception in Streaming Recommendation System
by: Zhu, Yongchun, et al.
Published: (2025)

MERGE: Next-Generation Item Indexing Paradigm for Large-Scale Streaming Recommendation
by: Yan, Jing, et al.
Published: (2026)

Next-User Retrieval: Enhancing Cold-Start Recommendations via Generative Next-User Modeling
by: Lan, Yu-Ting, et al.
Published: (2025)

Efficient Retrieval Scaling with Hierarchical Indexing for Large Scale Recommendation
by: Fu, Dongqi, et al.
Published: (2026)

Rethinking ANN-based Retrieval: Multifaceted Learnable Index for Large-scale Recommendation System
by: Zhang, Jiang, et al.
Published: (2026)

Feature-Indexed Federated Recommendation with Residual-Quantized Codebooks
by: Han, Mingzhe, et al.
Published: (2026)

LEMUR: Large scale End-to-end MUltimodal Recommendation
by: Han, Xintian, et al.
Published: (2025)

Locally-Adaptive Quantization for Streaming Vector Search
by: Aguerrebere, Cecilia, et al.
Published: (2024)

Vector Quantization for Recommender Systems: A Review and Outlook
by: Liu, Qijiong, et al.
Published: (2024)

Asymmetric Diffusion Recommendation Model
by: Zhu, Yongchun, et al.
Published: (2025)

R3-VAE: Reference Vector-Guided Rating Residual Quantization VAE for Generative Recommendation
by: Wan, Qiang, et al.
Published: (2026)

RankMixer: Scaling Up Ranking Models in Industrial Recommenders
by: Zhu, Jie, et al.
Published: (2025)

EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration
by: Wang, Ye, et al.
Published: (2024)

KuaiLive: A Real-time Interactive Dataset for Live Streaming Recommendation
by: Qu, Changle, et al.
Published: (2025)

Experimental Analysis of Large-scale Learnable Vector Storage Compression
by: Zhang, Hailin, et al.
Published: (2023)

Transferable Sequential Recommendation via Vector Quantized Meta Learning
by: Yue, Zhenrui, et al.
Published: (2024)

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

Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization
by: Liu, Qijiong, et al.
Published: (2023)

AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System
by: Zhu, Yongchun, et al.
Published: (2025)

Coarse-to-fine Dynamic Uplift Modeling for Real-time Video Recommendation
by: Meng, Chang, et al.
Published: (2024)

LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding
by: Wan, Zhizhong, et al.
Published: (2024)

Large Language Model as Universal Retriever in Industrial-Scale Recommender System
by: Jiang, Junguang, et al.
Published: (2025)

Pyramid Mixer: Multi-dimensional Multi-period Interest Modeling for Sequential Recommendation
by: Gong, Zhen, et al.
Published: (2025)

Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning
by: Bao, Keqin, et al.
Published: (2024)

AlayaLaser: Efficient Index Layout and Search Strategy for Large-scale High-dimensional Vector Similarity Search
by: Chen, Weijian, et al.
Published: (2026)

Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems
by: Zhu, Yaochen, et al.
Published: (2025)

SIVF: GPU-Resident IVF Index for Streaming Vector Search
by: Zhao, Dongfang
Published: (2026)

Not All Candidates are Created Equal: A Heterogeneity-Aware Approach to Pre-ranking in Recommender Systems
by: Tong, Pengfei, et al.
Published: (2026)

Retrieve-then-Adapt: Retrieval-Augmented Test-Time Adaptation for Sequential Recommendation
by: Tang, Xing, et al.
Published: (2026)

Purely Semantic Indexing for LLM-based Generative Recommendation and Retrieval
by: Zhang, Ruohan, et al.
Published: (2025)

ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval
by: Huang, Suyuan, et al.
Published: (2024)

Indexing Multimodal Language Models for Large-scale Image Retrieval
by: Tharwat, Bahey, et al.
Published: (2026)

Large-scale Benchmarks for Multimodal Recommendation with Ducho
by: Attimonelli, Matteo, et al.
Published: (2024)

Multi-Aspect Cross-modal Quantization for Generative Recommendation
by: Zhang, Fuwei, et al.
Published: (2025)

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

TopKGAT: A Top-K Objective-Driven Architecture for Recommendation
by: Chen, Sirui, et al.
Published: (2026)

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

A Metric for MLLM Alignment in Large-scale Recommendation
by: Zhang, Yubin, et al.
Published: (2025)