Copertina

Incorporating Classifier-Free Guidance in Diffusion Model-Based Recommendation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Buchanan, Noah, Gauch, Susan, Mai, Quan
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Information Retrieval Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation
di: Nkhata, Gibson, et al.
Pubblicazione: (2026)

Summarization-Based Document IDs for Generative Retrieval with Language Models
di: Li, Haoxin, et al.
Pubblicazione: (2023)

Search-Based Interaction For Conversation Recommendation via Generative Reward Model Based Simulated User
di: Wang, Xiaolei, et al.
Pubblicazione: (2025)

LLMAR: A Tuning-Free Recommendation Framework for Sparse and Text-Rich Industrial Domains
di: Hishikawa, Ryogo, et al.
Pubblicazione: (2026)

EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations
di: Zhang, Chiyu, et al.
Pubblicazione: (2024)

MoRE: A Mixture of Reflectors Framework for Large Language Model-Based Sequential Recommendation
di: Qin, Weicong, et al.
Pubblicazione: (2024)

LLaDA-Rec: Discrete Diffusion for Parallel Semantic ID Generation in Generative Recommendation
di: Shi, Teng, et al.
Pubblicazione: (2025)

Item-Language Model for Conversational Recommendation
di: Yang, Li, et al.
Pubblicazione: (2024)

MMREC: LLM Based Multi-Modal Recommender System
di: Tian, Jiahao, et al.
Pubblicazione: (2024)

Fact Finder -- Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge Graphs
di: Steinigen, Daniel, et al.
Pubblicazione: (2024)

Large Language Models as Evaluators for Recommendation Explanations
di: Zhang, Xiaoyu, et al.
Pubblicazione: (2024)

Generative Representational Learning of Foundation Models for Recommendation
di: Zhou, Zheli, et al.
Pubblicazione: (2025)

Retrieval Augmented Generation-Based Incident Resolution Recommendation System for IT Support
di: Isaza, Paulina Toro, et al.
Pubblicazione: (2024)

SPAR: Personalized Content-Based Recommendation via Long Engagement Attention
di: Zhang, Chiyu, et al.
Pubblicazione: (2024)

Prompt-Based LLMs for Position Bias-Aware Reranking in Personalized Recommendations
di: Islam, Md Aminul, et al.
Pubblicazione: (2025)

Proactive Guidance of Multi-Turn Conversation in Industrial Search
di: Li, Xiaoyu, et al.
Pubblicazione: (2025)

Collaborative Cross-modal Fusion with Large Language Model for Recommendation
di: Liu, Zhongzhou, et al.
Pubblicazione: (2024)

FLARE: Fusing Language Models and Collaborative Architectures for Recommender Enhancement
di: Hebert, Liam, et al.
Pubblicazione: (2024)

Enhancing Content-based Recommendation via Large Language Model
di: Xu, Wentao, et al.
Pubblicazione: (2024)

Large Language Models Make Sample-Efficient Recommender Systems
di: Lin, Jianghao, et al.
Pubblicazione: (2024)

Efficient Inference for Large Language Model-based Generative Recommendation
di: Lin, Xinyu, et al.
Pubblicazione: (2024)

Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models
di: Wang, Xiaolei, et al.
Pubblicazione: (2023)

Large Language Models are Zero-Shot Rankers for Recommender Systems
di: Hou, Yupeng, et al.
Pubblicazione: (2023)

A Survey on Large Language Models in Multimodal Recommender Systems
di: Lopez-Avila, Alejo, et al.
Pubblicazione: (2025)

Music Recommendation with Large Language Models: Challenges, Opportunities, and Evaluation
di: Epure, Elena V., et al.
Pubblicazione: (2025)

Rethinking LLM-Based Recommendations: A Personalized Query-Driven Parallel Integration
di: Han, Donghee, et al.
Pubblicazione: (2025)

On Reasoning Behind Next Occupation Recommendation
di: Dong, Shan, et al.
Pubblicazione: (2026)

Transforming Mentorship: An AI Powered Chatbot Approach to University Guidance
di: Rahman, Mashrur, et al.
Pubblicazione: (2025)

The Pitfalls of Growing Group Complexity: LLMs and Social Choice-Based Aggregation for Group Recommendations
di: Waterschoot, Cedric, et al.
Pubblicazione: (2025)

A Survey of Generative Search and Recommendation in the Era of Large Language Models
di: Li, Yongqi, et al.
Pubblicazione: (2024)

Multi-Layer Ranking with Large Language Models for News Source Recommendation
di: Zhang, Wenjia, et al.
Pubblicazione: (2024)

Prospect Personalized Recommendation on Large Language Model-based Agent Platform
di: Zhang, Jizhi, et al.
Pubblicazione: (2024)

Enhancing High-order Interaction Awareness in LLM-based Recommender Model
di: Wang, Xinfeng, et al.
Pubblicazione: (2024)

Harmonizing Large Language Models with Collaborative Behavioral Signals for Conversational Recommendation
di: Li, Guanrong, et al.
Pubblicazione: (2025)

Detecting Alarming Student Verbal Responses using Text and Audio Classifier
di: Ormerod, Christopher, et al.
Pubblicazione: (2026)

Multimodal Quantitative Language for Generative Recommendation
di: Zhai, Jianyang, et al.
Pubblicazione: (2025)

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

Multi-stage Retrieve and Re-rank Model for Automatic Medical Coding Recommendation
di: Wang, Xindi, et al.
Pubblicazione: (2024)

RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation Learning
di: Xu, Jian, et al.
Pubblicazione: (2025)

G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
di: Li, Yuhan, et al.
Pubblicazione: (2025)