Saved in:
| Main Authors: | Niu, Luyao, Deng, Zhicheng, Li, Boyang, Huang, Nuoxian, Liu, Ruiqi, Zhang, Wenjia |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.02502 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation
by: Chen, Haonan, et al.
Published: (2024)
by: Chen, Haonan, et al.
Published: (2024)
Enhanced Bayesian Personalized Ranking for Robust Hard Negative Sampling in Recommender Systems
by: Shi, Kexin, et al.
Published: (2024)
by: Shi, Kexin, et al.
Published: (2024)
Just Ask for Music (JAM): Multimodal and Personalized Natural Language Music Recommendation
by: Melchiorre, Alessandro B., et al.
Published: (2025)
by: Melchiorre, Alessandro B., et al.
Published: (2025)
Improving LLM-powered Recommendations with Personalized Information
by: Liu, Jiahao, et al.
Published: (2025)
by: Liu, Jiahao, et al.
Published: (2025)
MMREC: LLM Based Multi-Modal Recommender System
by: Tian, Jiahao, et al.
Published: (2024)
by: Tian, Jiahao, et al.
Published: (2024)
Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized Recommendations
by: Huang, Junjie, et al.
Published: (2024)
by: Huang, Junjie, et al.
Published: (2024)
Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism
by: Zhou, Yujia, et al.
Published: (2024)
by: Zhou, Yujia, et al.
Published: (2024)
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation
by: Qu, Liang, et al.
Published: (2024)
by: Qu, Liang, et al.
Published: (2024)
Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval
by: Zhang, Yingyi, et al.
Published: (2025)
by: Zhang, Yingyi, et al.
Published: (2025)
SCaLRec: Semantic Calibration for LLM-enabled Cloud-Device Sequential Recommendation
by: Zheng, Ruiqi, et al.
Published: (2026)
by: Zheng, Ruiqi, et al.
Published: (2026)
Investigating LLM Variability in Personalized Conversational Information Retrieval
by: Lupart, Simon, et al.
Published: (2025)
by: Lupart, Simon, et al.
Published: (2025)
FairDiverse: A Comprehensive Toolkit for Fair and Diverse Information Retrieval Algorithms
by: Xu, Chen, et al.
Published: (2025)
by: Xu, Chen, et al.
Published: (2025)
An Integrated Framework for Contextual Personalized LLM-Based Food Recommendation
by: Rostami, Ali
Published: (2025)
by: Rostami, Ali
Published: (2025)
From Hidden Profiles to Governable Personalization: Recommender Systems in the Age of LLM Agents
by: Liu, Jiahao, et al.
Published: (2026)
by: Liu, Jiahao, et al.
Published: (2026)
SemaCDR: LLM-Powered Transferable Semantics for Cross-Domain Sequential Recommendation
by: Zhang, Chunxu, et al.
Published: (2026)
by: Zhang, Chunxu, et al.
Published: (2026)
Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation
by: Deng, Chenlong, et al.
Published: (2024)
by: Deng, Chenlong, et al.
Published: (2024)
How to Leverage Personal Textual Knowledge for Personalized Conversational Information Retrieval
by: Mo, Fengran, et al.
Published: (2024)
by: Mo, Fengran, et al.
Published: (2024)
Decoding in Latent Spaces for Efficient Inference in LLM-based Recommendation
by: Wang, Chengbing, et al.
Published: (2025)
by: Wang, Chengbing, et al.
Published: (2025)
Enhancing Recommender Systems: A Strategy to Mitigate False Negative Impact
by: Shi, Kexin, et al.
Published: (2022)
by: Shi, Kexin, et al.
Published: (2022)
Large Language Models for Information Retrieval: A Survey
by: Zhu, Yutao, et al.
Published: (2023)
by: Zhu, Yutao, et al.
Published: (2023)
CityHood: An Explainable Travel Recommender System for Cities and Neighborhoods
by: Santos, Gustavo H, et al.
Published: (2025)
by: Santos, Gustavo H, et al.
Published: (2025)
Your Causal Self-Attentive Recommender Hosts a Lonely Neighborhood
by: Wang, Yueqi, et al.
Published: (2024)
by: Wang, Yueqi, et al.
Published: (2024)
User Long-Term Multi-Interest Retrieval Model for Recommendation
by: Meng, Yue, et al.
Published: (2025)
by: Meng, Yue, et al.
Published: (2025)
Adaptive Personalized Conversational Information Retrieval
by: Mo, Fengran, et al.
Published: (2025)
by: Mo, Fengran, et al.
Published: (2025)
Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation
by: Wang, Chengbing, et al.
Published: (2024)
by: Wang, Chengbing, et al.
Published: (2024)
Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation
by: Wang, Shijie, et al.
Published: (2025)
by: Wang, Shijie, et al.
Published: (2025)
ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based Recommendation
by: Kim, Sunwoo, et al.
Published: (2025)
by: Kim, Sunwoo, et al.
Published: (2025)
PRISM: Personalized Recommendation via Information Synergy Module
by: Zhang, Xinyi, et al.
Published: (2026)
by: Zhang, Xinyi, et al.
Published: (2026)
Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning
by: Bao, Keqin, et al.
Published: (2024)
by: Bao, Keqin, et al.
Published: (2024)
From Principles to Applications: A Comprehensive Survey of Discrete Tokenizers in Generation, Comprehension, Recommendation, and Information Retrieval
by: Jia, Jian, et al.
Published: (2025)
by: Jia, Jian, et al.
Published: (2025)
LWGR: Lagrangian-Constrained Personalized World Knowledge for Generative Recommendation
by: Mu, Lingyu, et al.
Published: (2026)
by: Mu, Lingyu, et al.
Published: (2026)
Synergistic Integration and Discrepancy Resolution of Contextualized Knowledge for Personalized Recommendation
by: Mu, Lingyu, et al.
Published: (2025)
by: Mu, Lingyu, et al.
Published: (2025)
SUNAR: Semantic Uncertainty based Neighborhood Aware Retrieval for Complex QA
by: Venktesh, V, et al.
Published: (2025)
by: Venktesh, V, et al.
Published: (2025)
Memory Assisted LLM for Personalized Recommendation System
by: Chen, Jiarui
Published: (2025)
by: Chen, Jiarui
Published: (2025)
R$^3$AG: Retriever Routing for Retrieval-Augmented Generation
by: Zhao, Tong, et al.
Published: (2026)
by: Zhao, Tong, et al.
Published: (2026)
Evoking User Memory: Personalizing LLM via Recollection-Familiarity Adaptive Retrieval
by: Zhang, Yingyi, et al.
Published: (2026)
by: Zhang, Yingyi, et al.
Published: (2026)
Stealthy LLM-Driven Data Poisoning Attacks Against Embedding-Based Retrieval-Augmented Recommender Systems
by: Nazary, Fatemeh, et al.
Published: (2025)
by: Nazary, Fatemeh, et al.
Published: (2025)
Birds of a Feather Cluster Nearby: a Proximity-Aware Geo-Codebook for Local Service Recommendation
by: He, Tian, et al.
Published: (2026)
by: He, Tian, et al.
Published: (2026)
NoteLLM: A Retrievable Large Language Model for Note Recommendation
by: Zhang, Chao, et al.
Published: (2024)
by: Zhang, Chao, et al.
Published: (2024)
ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval
by: Mao, Kelong, et al.
Published: (2024)
by: Mao, Kelong, et al.
Published: (2024)
Similar Items
-
Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation
by: Chen, Haonan, et al.
Published: (2024) -
Enhanced Bayesian Personalized Ranking for Robust Hard Negative Sampling in Recommender Systems
by: Shi, Kexin, et al.
Published: (2024) -
Just Ask for Music (JAM): Multimodal and Personalized Natural Language Music Recommendation
by: Melchiorre, Alessandro B., et al.
Published: (2025) -
Improving LLM-powered Recommendations with Personalized Information
by: Liu, Jiahao, et al.
Published: (2025) -
MMREC: LLM Based Multi-Modal Recommender System
by: Tian, Jiahao, et al.
Published: (2024)