Copertina

VM-Rec: A Variational Mapping Approach for Cold-start User Recommendation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zheng, Linan, Chen, Jiale, Liu, Pengsheng, Zhang, Guangfa, Fang, Jinyun
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Information Retrieval
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Enhancing Recommendation with Denoising Auxiliary Task
di: Liu, Pengsheng, et al.
Pubblicazione: (2024)

RLT4Rec: Reinforcement Learning Transformer for User Cold Start and Item Recommendation
di: Rajapakse, Dilina Chandika, et al.
Pubblicazione: (2024)

SaviorRec: Semantic-Behavior Alignment for Cold-Start Recommendation
di: Yao, Yining, et al.
Pubblicazione: (2025)

MoToRec: Sparse-Regularized Multimodal Tokenization for Cold-Start Recommendation
di: Liu, Jialin, et al.
Pubblicazione: (2026)

LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations
di: Zhang, Wenlin, et al.
Pubblicazione: (2024)

Reason4Rec: Large Language Models for Recommendation with Deliberative User Preference Alignment
di: Fang, Yi, et al.
Pubblicazione: (2025)

SimRec: Mitigating the Cold-Start Problem in Sequential Recommendation by Integrating Item Similarity
di: Brody, Shaked, et al.
Pubblicazione: (2024)

Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations
di: Kieu, Hai-Dang, et al.
Pubblicazione: (2024)

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

GenRecEdit: Adapting Model Editing for Generative Recommendation with Cold-Start Items
di: Shen, Chenglei, et al.
Pubblicazione: (2026)

RaSeRec: Retrieval-Augmented Sequential Recommendation
di: Zhao, Xinping, et al.
Pubblicazione: (2024)

RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface
di: Zhang, Zeyuan, et al.
Pubblicazione: (2024)

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

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation
di: Zhang, Bin, et al.
Pubblicazione: (2026)

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

OneRec-Think: In-Text Reasoning for Generative Recommendation
di: Liu, Zhanyu, et al.
Pubblicazione: (2025)

NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation
di: Zhang, Jiaqi, et al.
Pubblicazione: (2023)

Next-User Retrieval: Enhancing Cold-Start Recommendations via Generative Next-User Modeling
di: Lan, Yu-Ting, et al.
Pubblicazione: (2025)

FRONTIER-RevRec: A Large-scale Dataset for Reviewer Recommendation
di: Peng, Qiyao, et al.
Pubblicazione: (2025)

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

RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation
di: Hou, Min, et al.
Pubblicazione: (2025)

RecFlow: An Industrial Full Flow Recommendation Dataset
di: Liu, Qi, et al.
Pubblicazione: (2024)

GPFedRec: Graph-guided Personalization for Federated Recommendation
di: Zhang, Chunxu, et al.
Pubblicazione: (2023)

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

RecLM: Recommendation Instruction Tuning
di: Jiang, Yangqin, et al.
Pubblicazione: (2024)

M^2VAE: Multi-Modal Multi-View Variational Autoencoder for Cold-start Item Recommendation
di: He, Chuan, et al.
Pubblicazione: (2025)

MaTrRec: Uniting Mamba and Transformer for Sequential Recommendation
di: Zhang, Shun, et al.
Pubblicazione: (2024)

CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process
di: Li, Xiaodong, et al.
Pubblicazione: (2024)

LLMDiRec: LLM-Enhanced Intent Diffusion for Sequential Recommendation
di: Chen, Bo-Chian, et al.
Pubblicazione: (2025)

MindRec: A Diffusion-driven Coarse-to-Fine Paradigm for Generative Recommendation
di: Gao, Mengyao, et al.
Pubblicazione: (2025)

RecGPT: A Foundation Model for Sequential Recommendation
di: Jiang, Yangqin, et al.
Pubblicazione: (2025)

DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation
di: Sun, Zhu, et al.
Pubblicazione: (2022)

RecRM-Bench: Benchmarking Multidimensional Reward Modeling for Agentic Recommender Systems
di: Zeng, Wenwen, et al.
Pubblicazione: (2026)

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

Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach
di: Zhang, Chunxu, et al.
Pubblicazione: (2024)

MDiffFR: Modality-Guided Diffusion Generation for Cold-start Items in Federated Recommendation
di: Fu, Kang, et al.
Pubblicazione: (2025)

When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions
di: Zhang, Chunxu, et al.
Pubblicazione: (2023)

RecThinker: An Agentic Framework for Tool-Augmented Reasoning in Recommendation
di: Zhang, Haobo, et al.
Pubblicazione: (2026)

ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation
di: Chen, Jizheng, et al.
Pubblicazione: (2024)

AlignRec: Aligning and Training in Multimodal Recommendations
di: Liu, Yifan, et al.
Pubblicazione: (2024)