Copertina

Unveiling Inference Scaling for Difference-Aware User Modeling in LLM Personalization

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chen, Suyu, Bai, Yimeng, Huang, Yulong, Zhao, Xiaoyan, Zhang, Yang
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Information Retrieval
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

DiscRec: Disentangled Semantic-Collaborative Modeling for Generative Recommendation
di: Liu, Chang, et al.
Pubblicazione: (2025)

NextQuill: Causal Preference Modeling for Enhancing LLM Personalization
di: Zhao, Xiaoyan, et al.
Pubblicazione: (2025)

Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval
di: Zhang, Yingyi, et al.
Pubblicazione: (2025)

Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation
di: Zhang, Yang, et al.
Pubblicazione: (2024)

Evoking User Memory: Personalizing LLM via Recollection-Familiarity Adaptive Retrieval
di: Zhang, Yingyi, et al.
Pubblicazione: (2026)

LLM Agents Enable User-Governed Personalization Beyond Platform Boundaries
di: Lin, Jiacheng, et al.
Pubblicazione: (2026)

SODA: Semantic-Oriented Distributional Alignment for Generative Recommendation
di: Xue, Ziqi, et al.
Pubblicazione: (2026)

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

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation
di: Guo, Lei, et al.
Pubblicazione: (2026)

Inference Computation Scaling for Feature Augmentation in Recommendation Systems
di: Liu, Weihao, et al.
Pubblicazione: (2025)

MiniRec: Data-Efficient Reinforcement Learning for LLM-based Recommendation
di: Wang, Lin, et al.
Pubblicazione: (2026)

PersonaAct: Simulating Short-Video Users with Personalized Agents for Counterfactual Filter Bubble Auditing
di: Zhao, Shilong, et al.
Pubblicazione: (2026)

Optimizing User Profiles via Contextual Bandits for Retrieval-Augmented LLM Personalization
di: Du, Linfeng, et al.
Pubblicazione: (2026)

Measuring Fairness in Large-Scale Recommendation Systems with Missing Labels
di: Dong, Yulong, et al.
Pubblicazione: (2024)

Recommendation Unlearning via Influence Function
di: Zhang, Yang, et al.
Pubblicazione: (2023)

Personalized Multi-Interest Modeling for Cross-Domain Recommendation to Cold-Start Users
di: Li, Xiaodong, et al.
Pubblicazione: (2026)

Beyond Relevance: Improving User Engagement by Personalization for Short-Video Search
di: Bao, Wentian, et al.
Pubblicazione: (2024)

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

Leave No One Behind: Fairness-Aware Cross-Domain Recommender Systems for Non-Overlapping Users
di: Chen, Weixin, et al.
Pubblicazione: (2025)

Short Video Segment-level User Dynamic Interests Modeling in Personalized Recommendation
di: He, Zhiyu, et al.
Pubblicazione: (2025)

VQL: An End-to-End Context-Aware Vector Quantization Attention for Ultra-Long User Behavior Modeling
di: Li, Kaiyuan, et al.
Pubblicazione: (2025)

Heterogeneous User Modeling for LLM-based Recommendation
di: Bao, Honghui, et al.
Pubblicazione: (2025)

U-Sticker: A Large-Scale Multi-Domain User Sticker Dataset for Retrieval and Personalization
di: Chee, Heng Er Metilda, et al.
Pubblicazione: (2025)

Selecting User Histories to Generate LLM Users for Cold-Start Item Recommendation
di: Subbaraman, Nachiket, et al.
Pubblicazione: (2025)

Similar Users-Augmented Interest Network
di: Chen, Xiaolong, et al.
Pubblicazione: (2026)

Prompt Tuning as User Inherent Profile Inference Machine
di: Lu, Yusheng, et al.
Pubblicazione: (2024)

Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery
di: Li, Xiaopeng, et al.
Pubblicazione: (2026)

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

S-GRec: Personalized Semantic-Aware Generative Recommendation with Asymmetric Advantage
di: Jiang, Jie, et al.
Pubblicazione: (2026)

Analysis and Design of a Personalized Recommendation System Based on a Dynamic User Interest Model
di: Mao, Chunyan, et al.
Pubblicazione: (2024)

Bi-Level Optimization for Generative Recommendation: Bridging Tokenization and Generation
di: Bai, Yimeng, et al.
Pubblicazione: (2025)

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

Collaborative User Prompt for Personalized Generative Recommendation
di: Ramos, Jerome, et al.
Pubblicazione: (2024)

FilterLLM: Text-To-Distribution LLM for Billion-Scale Cold-Start Recommendation
di: Liu, Ruochen, et al.
Pubblicazione: (2025)

PMG : Personalized Multimodal Generation with Large Language Models
di: Shen, Xiaoteng, et al.
Pubblicazione: (2024)

Sharpness-Aware Cross-Domain Recommendation to Cold-Start Users
di: Zeng, Guohang, et al.
Pubblicazione: (2024)

Personalized News Recommendation with Multi-granularity Candidate-aware User Modeling
di: Li, Qiang, et al.
Pubblicazione: (2025)

Finetuning Large Language Model for Personalized Ranking
di: Bai, Zhuoxi, et al.
Pubblicazione: (2024)

HistLLM: A Unified Framework for LLM-Based Multimodal Recommendation with User History Encoding and Compression
di: Zhang, Chen, et al.
Pubblicazione: (2025)

Decoding in Latent Spaces for Efficient Inference in LLM-based Recommendation
di: Wang, Chengbing, et al.
Pubblicazione: (2025)