Cover Image

A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Qidong, Qiu, Zhaopeng, Zhao, Xiangyu, Wu, Xian, Zhang, Zijian, Xu, Tong, Tian, Feng
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation
by: Liu, Qidong, et al.
Published: (2024)

LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
by: Liu, Qidong, et al.
Published: (2024)

Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation
by: Liu, Qidong, et al.
Published: (2025)

GPRec: Bi-level User Modeling for Deep Recommenders
by: Wang, Yejing, et al.
Published: (2024)

LLMSeR: Enhancing Sequential Recommendation via LLM-based Data Augmentation
by: Sun, Yuqi, et al.
Published: (2025)

Large Language Model Enhanced Recommender Systems: A Survey
by: Liu, Qidong, et al.
Published: (2024)

LLM-Powered User Simulator for Recommender System
by: Zhang, Zijian, et al.
Published: (2024)

M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
by: Zhang, Zijian, et al.
Published: (2024)

Efficient Multi-task Prompt Tuning for Recommendation
by: Bai, Ting, et al.
Published: (2024)

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

LLM-EDT: Large Language Model Enhanced Cross-domain Sequential Recommendation with Dual-phase Training
by: Liu, Ziwei, et al.
Published: (2025)

Joint Modeling in Recommendations: A Survey
by: Zhao, Xiangyu, et al.
Published: (2025)

PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning
by: Wei, Wei, et al.
Published: (2024)

Harnessing Large Language Models for Text-Rich Sequential Recommendation
by: Zheng, Zhi, et al.
Published: (2024)

NoteLLM-2: Multimodal Large Representation Models for Recommendation
by: Zhang, Chao, et al.
Published: (2024)

SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems
by: Jia, Pengyue, et al.
Published: (2024)

MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation
by: Guo, Xu, et al.
Published: (2025)

Hierarchical Interaction Summarization and Contrastive Prompting for Explainable Recommendations
by: Liu, Yibin, et al.
Published: (2025)

Refining Contrastive Learning and Homography Relations for Multi-Modal Recommendation
by: Ma, Shouxing, et al.
Published: (2025)

NeuroCLIP: Brain-Inspired Prompt Tuning for EEG-to-Image Multimodal Contrastive Learning
by: Wang, Jiyuan, et al.
Published: (2025)

Multi-agents based User Values Mining for Recommendation
by: Chen, Lijian, et al.
Published: (2025)

DMESR: Dual-view MLLM-based Enhancing Framework for Multimodal Sequential Recommendation
by: Huang, Mingyao, et al.
Published: (2026)

Multimodal Recommender Systems: A Survey
by: Liu, Qidong, et al.
Published: (2023)

Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention
by: Liu, Ziru, et al.
Published: (2024)

Large Language Model Enhanced Graph Invariant Contrastive Learning for Out-of-Distribution Recommendation
by: Liang, Jiahao, et al.
Published: (2025)

Multimodal Pretraining and Generation for Recommendation: A Tutorial
by: Zhu, Jieming, et al.
Published: (2024)

Contrastive Representation for Interactive Recommendation
by: Li, Jingyu, et al.
Published: (2024)

The 2nd Workshop on Recommendation with Generative Models
by: Wang, Wenjie, et al.
Published: (2024)

Personalized Prompt for Sequential Recommendation
by: Wu, Yiqing, et al.
Published: (2022)

Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey
by: Liu, Qijiong, et al.
Published: (2024)

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks
by: Wang, Yejing, et al.
Published: (2025)

Prompt Tuning for Item Cold-start Recommendation
by: Jiang, Yuezihan, et al.
Published: (2024)

Flow Matching based Sequential Recommender Model
by: Liu, Feng, et al.
Published: (2025)

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

MCRPL: A Pretrain, Prompt & Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation
by: Liu, Hao, et al.
Published: (2024)

Sparser Training for On-Device Recommendation Systems
by: Qu, Yunke, et al.
Published: (2024)

Exploring Recommender System Evaluation: A Multi-Modal User Agent Framework for A/B Testing
by: Zhang, Wenlin, et al.
Published: (2026)

Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark
by: Li, Xiaopeng, et al.
Published: (2024)

Continuous Input Embedding Size Search For Recommender Systems
by: Qu, Yunke, et al.
Published: (2023)