:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Hu, Peiyu, Lu, Wayne, Wang, Jia
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval
Online Access:	https://arxiv.org/abs/2511.08006
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Generative Recommendation with Semantic IDs: A Practitioner's Handbook
by: Ju, Clark Mingxuan, et al.
Published: (2025)

Generating Long Semantic IDs in Parallel for Recommendation
by: Hou, Yupeng, et al.
Published: (2025)

Semantic IDs for Joint Generative Search and Recommendation
by: Penha, Gustavo, et al.
Published: (2025)

Semantic IDs for Music Recommendation
by: Mei, M. Jeffrey, et al.
Published: (2025)

Unleash the Potential of Long Semantic IDs for Generative Recommendation
by: Xia, Ming, et al.
Published: (2026)

Decoupled Residual Quantization for Robust Semantic IDs in Recommendation
by: Wang, Xuesi, et al.
Published: (2026)

Reasoning over Semantic IDs Enhances Generative Recommendation
by: He, Yingzhi, et al.
Published: (2026)

From Head to Tail: Asymmetric Knowledge Transfer in Long-tail Recommendation with Generative Semantic IDs
by: Yan, Chenyi, et al.
Published: (2026)

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

Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations
by: Singh, Anima, et al.
Published: (2023)

CapsID: Soft-Routed Variable-Length Semantic IDs for Generative Recommendation
by: Cheng, Wenzhuo, et al.
Published: (2026)

DAS: Dual-Aligned Semantic IDs Empowered Industrial Recommender System
by: Ye, Wencai, et al.
Published: (2025)

Quantizing Intent: Cross-Domain Semantic IDs from Organic Activity for Industrial Ranking
by: Choi, Julie, et al.
Published: (2026)

Variable-Length Semantic IDs for Recommender Systems
by: Khrylchenko, Kirill
Published: (2026)

The Best of the Two Worlds: Harmonizing Semantic and Hash IDs for Sequential Recommendation
by: Liu, Ziwei, et al.
Published: (2025)

When Text-as-Vision Meets Semantic IDs in Generative Recommendation: An Empirical Study
by: Qiao, Shutong, et al.
Published: (2026)

FusID: Modality-Fused Semantic IDs for Generative Music Recommendation
by: Kim, Haven, et al.
Published: (2026)

HiD-VAE: Interpretable Generative Recommendation via Hierarchical and Disentangled Semantic IDs
by: Fang, Dengzhao, et al.
Published: (2025)

Learning Multi-Aspect Item Palette: A Semantic Tokenization Framework for Generative Recommendation
by: Liu, Qijiong, et al.
Published: (2024)

Semantic IDs for Recommender Systems at Snapchat: Use Cases, Technical Challenges, and Design Choices
by: Ju, Clark Mingxuan, et al.
Published: (2026)

Farewell to Item IDs: Unlocking the Scaling Potential of Large Ranking Models via Semantic Tokens
by: Zhao, Zhen, et al.
Published: (2026)

Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs
by: Wang, Yuhao, et al.
Published: (2025)

LLMs Need Encoders for Semantic IDs Too
by: Chen, Xiangyi, et al.
Published: (2026)

How Reliable Are Semantic-ID Tokenizer Comparisons in Generative Recommendation?
by: Zhang, Qian, et al.
Published: (2026)

Bridging Behavior and Semantics for Time-aware Cross-Domain Sequential Recommendation
by: Qin, Zhida, et al.
Published: (2026)

RASTP: Representation-Aware Semantic Token Pruning for Generative Recommendation with Semantic Identifiers
by: Zhan, Tianyu, et al.
Published: (2025)

Deep Interest Mining for Intent-Enriched Semantic IDs in Multimodal Generative Recommendation
by: Zeng, Yangchen, et al.
Published: (2026)

SID-Coord: Coordinating Semantic IDs for ID-based Ranking in Short-Video Search
by: Li, Guowen, et al.
Published: (2026)

CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation
by: Zhu, Jieming, et al.
Published: (2024)

Efficient Generative Retrieval for E-commerce Search with Semantic Cluster IDs and Expert-Guided RL
by: Zhu, Jianbo, et al.
Published: (2026)

Generative Recommender with End-to-End Learnable Item Tokenization
by: Liu, Enze, et al.
Published: (2024)

LASAR: Latent Adaptive Semantic Aligned Reasoning for Generative Recommendation
by: Chen, Yiwen, et al.
Published: (2026)

Breaking the Information Silo: Semantic Personas for Cross-Domain Recommendation
by: Mayo, Jonathan, et al.
Published: (2026)

Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation
by: Zheng, Bowen, et al.
Published: (2023)

Customized Retrieval-Augmented Generation with LLM for Debiasing Recommendation Unlearning
by: Zhang, Haichao, et al.
Published: (2025)

Sequence-level Semantic Representation Fusion for Recommender Systems
by: Xu, Lanling, et al.
Published: (2024)

R2LED: Equipping Retrieval and Refinement in Lifelong User Modeling with Semantic IDs for CTR Prediction
by: Liu, Qidong, et al.
Published: (2026)

Universal Item Tokenization for Transferable Generative Recommendation
by: Zheng, Bowen, et al.
Published: (2025)

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

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