Copertina

A Soft-partitioned Semi-supervised Collaborative Transfer Learning Approach for Multi-Domain Recommendation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liu, Xiaoyu, Wu, Yiqing, Han, Ruidong, Zhuang, Fuzhen, Li, Xiang, Lin, Wei
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

CDC: Causal Domain Clustering for Multi-Domain Recommendation
di: Luo, Huishi, et al.
Pubblicazione: (2025)

Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation
di: Zhang, Yuting, et al.
Pubblicazione: (2024)

Adaptive Utilization of Cross-scenario Information for Multi-scenario Recommendation
di: Shu, Xiufeng, et al.
Pubblicazione: (2024)

TextBridgeGNN: Pre-training Graph Neural Network for Cross-Domain Recommendation via Text-Guided Transfer
di: Chen, Yiwen, et al.
Pubblicazione: (2025)

Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation
di: Wen, Yi, et al.
Pubblicazione: (2025)

One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation
di: Luo, Huishi, et al.
Pubblicazione: (2024)

Personalized Prompt for Sequential Recommendation
di: Wu, Yiqing, et al.
Pubblicazione: (2022)

ID-centric Pre-training for Recommendation
di: Wu, Yiqing, et al.
Pubblicazione: (2024)

CAT-ID$^2$: Category-Tree Integrated Document Identifier Learning for Generative Retrieval In E-commerce
di: Liu, Xiaoyu, et al.
Pubblicazione: (2025)

Large-Scale Multi-Domain Recommendation: an Automatic Domain Feature Extraction and Personalized Integration Framework
di: Xi, Dongbo, et al.
Pubblicazione: (2024)

Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR Framework
di: Han, Ruidong, et al.
Pubblicazione: (2024)

Multi-Aspect Cross-modal Quantization for Generative Recommendation
di: Zhang, Fuwei, et al.
Pubblicazione: (2025)

Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information
di: Zhao, Yurou, et al.
Pubblicazione: (2024)

ORCA: Mitigating Over-Reliance for Multi-Task Dwell Time Prediction with Causal Decoupling
di: Luo, Huishi, et al.
Pubblicazione: (2025)

Enhancing LLM-based Recommendation with Preference Hint Discovery from Knowledge Graph
di: Zhang, Yuting, et al.
Pubblicazione: (2026)

MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation
di: Ma, Yunshan, et al.
Pubblicazione: (2023)

Causal Structure Representation Learning of Confounders in Latent Space for Recommendation
di: Xu, Hangtong, et al.
Pubblicazione: (2023)

Hyperbolic Diffusion Recommender Model
di: Yuan, Meng, et al.
Pubblicazione: (2025)

A Survey on Causal Inference for Recommendation
di: Luo, Huishi, et al.
Pubblicazione: (2023)

Enhancing Transferability and Consistency in Cross-Domain Recommendations via Supervised Disentanglement
di: Wang, Yuhan, et al.
Pubblicazione: (2025)

MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation
di: Xu, Jinfeng, et al.
Pubblicazione: (2024)

Quality-Aware Collaborative Multi-Positive Contrastive Learning for Sequential Recommendation
di: Wang, Wei
Pubblicazione: (2026)

From Transfer to Collaboration: A Federated Framework for Cross-Market Sequential Recommendation
di: Chen, Jundong, et al.
Pubblicazione: (2026)

Self-supervised Contrastive Learning for Implicit Collaborative Filtering
di: Song, Shipeng, et al.
Pubblicazione: (2024)

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan
di: Han, Ruidong, et al.
Pubblicazione: (2025)

Contrastive Multi-graph Learning with Neighbor Hierarchical Sifting for Semi-supervised Text Classification
di: Ai, Wei, et al.
Pubblicazione: (2024)

An Efficient Multi-threaded Collaborative Filtering Approach in Recommendation System
di: Hasan, Mahamudul
Pubblicazione: (2024)

Crocodile: Cross Experts Covariance for Disentangled Learning in Multi-Domain Recommendation
di: Lin, Zhutian, et al.
Pubblicazione: (2024)

Multi-modal Food Recommendation using Clustering and Self-supervised Learning
di: Zhang, Yixin, et al.
Pubblicazione: (2024)

Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation
di: Li, Hanyu, et al.
Pubblicazione: (2024)

Fusion Self-supervised Learning for Recommendation
di: Zhang, Yu, et al.
Pubblicazione: (2024)

LASAR: Latent Adaptive Semantic Aligned Reasoning for Generative Recommendation
di: Chen, Yiwen, et al.
Pubblicazione: (2026)

Self-supervised Hierarchical Representation for Medication Recommendation
di: Liang, Yuliang, et al.
Pubblicazione: (2024)

Learning Recommender Systems with Soft Target: A Decoupled Perspective
di: Zhang, Hao, et al.
Pubblicazione: (2024)

Effective Two-Stage Knowledge Transfer for Multi-Entity Cross-Domain Recommendation
di: Guan, Jianyu, et al.
Pubblicazione: (2024)

DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation
di: Huang, Heyuan, et al.
Pubblicazione: (2024)

Collaborative Knowledge Fusion: A Novel Approach for Multi-task Recommender Systems via LLMs
di: Zhao, Chuang, et al.
Pubblicazione: (2024)

Mitigating Spurious Correlations for Self-supervised Recommendation
di: Lin, Xinyu, et al.
Pubblicazione: (2022)

KGBridge: Knowledge-Guided Prompt Learning for Non-overlapping Cross-Domain Recommendation
di: Wang, Yuhan, et al.
Pubblicazione: (2025)

Denoising Neural Reranker for Recommender Systems
di: Mao, Wenyu, et al.
Pubblicazione: (2025)