:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yu, Yang, Kou, Lei, Yi, Huaikuan, Chen, Bin, Cao, Yayu, Shen, Lei, Zhang, Chao, Wang, Bing, Zeng, Xiaoyi
Format:	Preprint
Published:	2026
Subjects:	Information Retrieval Machine Learning
Online Access:	https://arxiv.org/abs/2602.22913
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GateSID: Adaptive Gating for Semantic-Collaborative Alignment in Cold-Start Recommendation
by: Zhu, Hai, et al.
Published: (2026)

Scaling Transformers for Discriminative Recommendation via Generative Pretraining
by: Wang, Chunqi, et al.
Published: (2025)

Beyond Dense Connectivity: Explicit Sparsity for Scalable Recommendation
by: Yu, Yantao, et al.
Published: (2026)

Ep. 147: The Secret Logic of AliExpress Logistics
by: Rosehill, Daniel, et al.
Published: (2026)

SORT: A Systematically Optimized Ranking Transformer for Industrial-scale Recommenders
by: Wang, Chunqi, et al.
Published: (2026)

MBGR: Multi-Business Prediction for Generative Recommendation at Meituan
by: Li, Changhao, et al.
Published: (2026)

Paragon: Parameter Generation for Controllable Multi-Task Recommendation
by: Shen, Chenglei, et al.
Published: (2024)

Masked Diffusion Generative Recommendation
by: Mu, Lingyu, et al.
Published: (2026)

Federated Semantic Learning for Privacy-preserving Cross-domain Recommendation
by: Lu, Ziang, et al.
Published: (2025)

Taming the Long Tail: Denoising Collaborative Information for Robust Semantic ID Generation
by: Xu, Yi, et al.
Published: (2025)

GLASS: A Generative Recommender for Long-sequence Modeling via SID-Tier and Semantic Search
by: Cao, Shiteng, et al.
Published: (2026)

Semantic-enhanced Co-attention Prompt Learning for Non-overlapping Cross-Domain Recommendation
by: Guo, Lei, et al.
Published: (2025)

MLLM-Driven Semantic Identifier Generation for Generative Cross-Modal Retrieval
by: Li, Tianyuan, et al.
Published: (2025)

Generative Next POI Recommendation with Semantic ID
by: Wang, Dongsheng, et al.
Published: (2025)

STORE: Semantic Tokenization, Orthogonal Rotation and Efficient Attention for Scaling Up Ranking Models
by: Xu, Yi, et al.
Published: (2025)

BRIDGE: Bundle Recommendation via Instruction-Driven Generation
by: Bui, Tuan-Nghia, et al.
Published: (2024)

Rethinking Recommendation Paradigms: From Pipelines to Agentic Recommender Systems
by: Hu, Jinxin, et al.
Published: (2026)

Learning to Reflect and Correct: Towards Better Decoding Trajectories for Large-Scale Generative Recommendation
by: Xing, Haibo, et al.
Published: (2026)

RCLRec: Reverse Curriculum Learning for Modeling Sparse Conversions in Generative Recommendation
by: Huang, Yulei, et al.
Published: (2026)

MultiBalance: Multi-Objective Gradient Balancing in Industrial-Scale Multi-Task Recommendation System
by: He, Yun, et al.
Published: (2024)

RecLM: Recommendation Instruction Tuning
by: Jiang, Yangqin, et al.
Published: (2024)

Fine-grained Semantics Integration for Large Language Model-based Recommendation
by: Feng, Jiawei, et al.
Published: (2026)

Semantic Item Graph Enhancement for Multimodal Recommendation
by: Zhang, Xiaoxiong, et al.
Published: (2025)

Items Proxy Bridging: Enabling Frictionless Critiquing in Knowledge Graph Recommendations
by: Zhang, Huanyu, et al.
Published: (2025)

Semantic Trimming and Auxiliary Multi-step Prediction for Generative Recommendation
by: Zhan, Tianyu, et al.
Published: (2026)

Enhancing ID-based Recommendation with Large Language Models
by: Chen, Lei, et al.
Published: (2024)

DOS: Dual-Flow Orthogonal Semantic IDs for Recommendation in Meituan
by: Yin, Junwei, et al.
Published: (2026)

E-commerce Webpage Recommendation Scheme Base on Semantic Mining and Neural Networks
by: Zhao, Wenchao, et al.
Published: (2024)

LWGR: Lagrangian-Constrained Personalized World Knowledge for Generative Recommendation
by: Mu, Lingyu, et al.
Published: (2026)

HSUGA: LLM-Enhanced Recommendation with Hierarchical Semantic Understanding and Group-Aware Alignment
by: Li, Guorui, et al.
Published: (2026)

REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems
by: Xing, Haibo, et al.
Published: (2025)

DIAURec: Dual-Intent Space Representation Optimization for Recommendation
by: Zhang, Yu, et al.
Published: (2026)

Intent Representation Learning with Large Language Model for Recommendation
by: Wang, Yu, et al.
Published: (2025)

Dual-Diffusional Generative Fashion Recommendation
by: Yu, Mingzhe, et al.
Published: (2026)

UnifiedRL: A Reinforcement Learning Algorithm Tailored for Multi-Task Fusion in Large-Scale Recommender Systems
by: Liu, Peng, et al.
Published: (2024)

Fusion Self-supervised Learning for Recommendation
by: Zhang, Yu, et al.
Published: (2024)

Differentiable Semantic ID for Generative Recommendation
by: Fu, Junchen, et al.
Published: (2026)

AgenticRS-Architecture: System Design for Agentic Recommender Systems
by: Zhang, Hao, et al.
Published: (2026)

SelfRACG: Enabling LLMs to Self-Express and Retrieve for Code Generation
by: Dong, Qian, et al.
Published: (2025)

AliBoost: Ecological Boosting Framework in Alibaba Platform
by: Shen, Qijie, et al.
Published: (2025)