Copertina

PAP-REC: Personalized Automatic Prompt for Recommendation Language Model

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Zelong, Ji, Jianchao, Ge, Yingqiang, Hua, Wenyue, Zhang, Yongfeng
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Information Retrieval Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

UP5: Unbiased Foundation Model for Fairness-aware Recommendation
di: Hua, Wenyue, et al.
Pubblicazione: (2023)

IDGenRec: LLM-RecSys Alignment with Textual ID Learning
di: Tan, Juntao, et al.
Pubblicazione: (2024)

EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs
di: Lin, Sam, et al.
Pubblicazione: (2024)

Federated Vision-Language-Recommendation with Personalized Fusion
di: Li, Zhiwei, et al.
Pubblicazione: (2024)

User Embedding Model for Personalized Language Prompting
di: Doddapaneni, Sumanth, et al.
Pubblicazione: (2024)

Lightweight yet Efficient: An External Attentive Graph Convolutional Network with Positional Prompts for Sequential Recommendation
di: Zhang, Jinyu, et al.
Pubblicazione: (2025)

Large Language Model Distilling Medication Recommendation Model
di: Liu, Qidong, et al.
Pubblicazione: (2024)

Item Cluster-aware Prompt Learning for Session-based Recommendation
di: Yang, Wooseong, et al.
Pubblicazione: (2024)

LiMAML: Personalization of Deep Recommender Models via Meta Learning
di: Wang, Ruofan, et al.
Pubblicazione: (2024)

Personalized Image Generation for Recommendations Beyond Catalogs
di: Patron, Gabriel, et al.
Pubblicazione: (2025)

Large Language Models for Next Point-of-Interest Recommendation
di: Li, Peibo, et al.
Pubblicazione: (2024)

SafeCRS: Personalized Safety Alignment for LLM-Based Conversational Recommender Systems
di: Hao, Haochang, et al.
Pubblicazione: (2026)

Enhancing Personalized Recipe Recommendation Through Multi-Class Classification
di: Neelam, Harish, et al.
Pubblicazione: (2024)

Weightless Neural Networks for Continuously Trainable Personalized Recommendation Systems
di: Latif, Rafayel, et al.
Pubblicazione: (2025)

Navigating the Future of Federated Recommendation Systems with Foundation Models
di: Li, Zhiwei, et al.
Pubblicazione: (2024)

PathGPT: Reframing Path Recommendation as a Natural Language Generation Task with Retrieval-Augmented Language Models
di: Marcelyn, Steeve Cuthbert, et al.
Pubblicazione: (2025)

A Knowledge Graph and Deep Learning-Based Semantic Recommendation Database System for Advertisement Retrieval and Personalization
di: Wang, Tangtang, et al.
Pubblicazione: (2025)

BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models
di: Yang, Weiqin, et al.
Pubblicazione: (2026)

Large Language Models as Recommender Systems: A Study of Popularity Bias
di: Lichtenberg, Jan Malte, et al.
Pubblicazione: (2024)

Faithful Path Language Modeling for Explainable Recommendation over Knowledge Graph
di: Balloccu, Giacomo, et al.
Pubblicazione: (2023)

Refine-POI: Reinforcement Fine-Tuned Large Language Models for Next Point-of-Interest Recommendation
di: Li, Peibo, et al.
Pubblicazione: (2025)

A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings
di: Dasgupta, Shib, et al.
Pubblicazione: (2025)

Modeling Behavioral Intensity and Transitions for Generative Recommendation
di: Yang, Wenxuan, et al.
Pubblicazione: (2026)

STAR: A Simple Training-free Approach for Recommendations using Large Language Models
di: Lee, Dong-Ho, et al.
Pubblicazione: (2024)

DiffGraph: Heterogeneous Graph Diffusion Model
di: Li, Zongwei, et al.
Pubblicazione: (2025)

Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation
di: Ji, Luo, et al.
Pubblicazione: (2024)

Language is All a Graph Needs
di: Ye, Ruosong, et al.
Pubblicazione: (2023)

Large Language Models are Learnable Planners for Long-Term Recommendation
di: Shi, Wentao, et al.
Pubblicazione: (2024)

Enhancing Cross-Market Recommendation System with Graph Isomorphism Networks: A Novel Approach to Personalized User Experience
di: Öztürk, Sümeyye, et al.
Pubblicazione: (2024)

Graph Foundation Models for Recommendation: A Comprehensive Survey
di: Wu, Bin, et al.
Pubblicazione: (2025)

ACER: Automatic Language Model Context Extension via Retrieval
di: Gao, Luyu, et al.
Pubblicazione: (2024)

Joint Modeling of Search and Recommendations Via an Unified Contextual Recommender (UniCoRn)
di: Bhattacharya, Moumita, et al.
Pubblicazione: (2024)

PRISM: Purified Representation and Integrated Semantic Modeling for Generative Sequential Recommendation
di: Fang, Dengzhao, et al.
Pubblicazione: (2026)

Leveraging LLM Reasoning Enhances Personalized Recommender Systems
di: Tsai, Alicia Y., et al.
Pubblicazione: (2024)

Modeling Churn in Recommender Systems with Aggregated Preferences
di: Keinan, Gur, et al.
Pubblicazione: (2025)

Hybrid Intent-Aware Personalization with Machine Learning and RAG-Enabled Large Language Models for Financial Services Marketing
di: Shanivendra, Akhil Chandra
Pubblicazione: (2026)

Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systems
di: Shao, Junli, et al.
Pubblicazione: (2025)

External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation
di: Liang, Mingfu, et al.
Pubblicazione: (2025)

A Survey of Latent Factor Models in Recommender Systems
di: Alshbanat, Hind I., et al.
Pubblicazione: (2024)

DiffGRM: Diffusion-based Generative Recommendation Model
di: Liu, Zhao, et al.
Pubblicazione: (2025)