Imagen de Portada

A Review of Deep Learning and Large Language Models for Cold Start Problem in Recommender Systems

Fuente: Wiley Open Access

Guardado en:

Detalles Bibliográficos
Autores principales:	Chenlong Liu, Daguang Jiang, Yi Cai, Hui Li
Formato:	Artículo Open Access
Publicado:	Wiley 2026
Materias:	WIREs Data Mining and Knowledge Discovery
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Mapping the Landscape of Personalization: A Comprehensive Review of Prediction and Trends in Recommendation Systems
por: Tamanna Sachdeva, et al.
Publicado: (2025)

Large Language Models for Explainable Medical Text Summarization: A Systematic Literature Review
por: Aleka Melese Ayalew, et al.
Publicado: (2026)

Exploring Causal Learning Through Graph Neural Networks: An In‐Depth Review
por: Simi Job, et al.
Publicado: (2025)

A Survey on Medical Document Summarization: From Machine Learning Techniques to Large Language Models
por: Akash Ghosh, et al.
Publicado: (2025)

Recommender Systems: Taxonomy, Applications and Current Research Trends
por: Daniel Ranchal‐Parrado, et al.
Publicado: (2026)

Optimizing Intrusion Detection for IoT: A Systematic Review of Machine Learning and Deep Learning Approaches With Feature Selection and Data Balancing
por: S. Kumar Reddy Mallidi, et al.
Publicado: (2025)

A Survey on Causal Inference‐Driven Data Bias Optimization in Recommendation Systems: Principles, Opportunities and Challenges
por: Yongkang Li, et al.
Publicado: (2025)

Exploring Machine Learning Models for Schizophrenia Detection: A Systematic Review
por: Anushka Batte, et al.
Publicado: (2025)

The Intersection of Knowledge Graphs, Large Language Models, and Mass Spectrometry Data: Progress and Applications
por: Donghui Shi, et al.
Publicado: (2026)

Nature‐Inspired Optimization Techniques in Deep Learning for Cybersecurity
por: S. Kumar Reddy Mallidi, et al.
Publicado: (2026)

Harnessing Earth Observation and Machine Learning for Sustainable Development Goals
por: Touqeer Abbas, et al.
Publicado: (2025)

Application of Wavelet Transformation and Artificial Intelligence Techniques in Healthcare: A Systemic Review
por: Samiul Based Shuvo, et al.
Publicado: (2025)

Security Solutions for the Internet of Things Using Machine Learning and Deep Learning: Current Trends and Future Directions
por: Himanshu Sharma, et al.
Publicado: (2026)

Deep Learning for Satellite‐Based Forest Disturbance Monitoring: Recent Advances and Challenges
por: Carolina Natel, et al.
Publicado: (2026)

Machine Learning and Deep Learning Techniques to Detect Mental Stress Using Various Physiological Signals: A Critical Insight
por: Megha Khandelwal, et al.
Publicado: (2025)

Edge Computing in Healthcare Using Machine Learning: A Systematic Literature Review
por: Amir Mashmool, et al.
Publicado: (2026)

A Review of Unlabeled and Imbalanced Data Challenges in Machine Learning: Strategies and Solutions
por: Neethu M S, et al.
Publicado: (2025)

Using Machine Learning for Systematic Literature Review Case in Point: Agile Software Development
por: Itzik David, et al.
Publicado: (2024)

A Comprehensive Survey of Deep Learning Methods in Gastro‐Intestinal Wireless Capsule Endoscopy Images
por: Sharmila Vijaya Pandian, et al.
Publicado: (2025)

A Review on Medical Image Segmentation: Datasets, Technical Models, Challenges and Solutions
por: Hong‐Seng Gan, et al.
Publicado: (2025)

Meta‐Heuristic Optimization for the Multi‐Classification of Chronic Disease: A Review With Machine Learning Perspectives
por: Akansha Singh, et al.
Publicado: (2025)

The Evolving Landscape of Modern Regression: A Systematic Review and Mapping Study of Penalized, Algorithmic, and Interpretable Models
por: Michael Bendersky, et al.
Publicado: (2026)

Neuromorphic Computing and Applications: A Topical Review
por: Pavan Kumar Enuganti, et al.
Publicado: (2025)

Artificial Intelligence for Road Anomaly Detection: A Review
por: Rohit Samanta, et al.
Publicado: (2026)

A Systematic Review on Process Mining for Curricular Analysis
por: Daniel Calegari, et al.
Publicado: (2025)

Adversarial Attacks in Explainable Machine Learning: A Survey of Threats Against Models and Humans
por: Jon Vadillo, et al.
Publicado: (2024)

A Review on the Consistency of AI ‐Generated Images for Interior Design Rendering
por: Shuangyang Tan, et al.
Publicado: (2026)

How AI Contributes to Poverty Alleviation: A Systematic Literature Review
por: Sepehr Ghazinoory, et al.
Publicado: (2025)

Advances in Feature Selection Using Memetic Algorithms: A Comprehensive Review
por: Keerthi Gabbi Reddy, et al.
Publicado: (2025)

Conditional GAN Approaches on Regression Labels: A State‐of‐the‐Art Review
por: Analuz Silva‐Silverio, et al.
Publicado: (2025)

Combating Digital Deception: A Taxonomical and Systematic Review of Deepfake Detection Approaches
por: Pratishtha Gupta, et al.
Publicado: (2026)

Explainable AI for Hate Speech Moderation: A Stakeholder‐Centered and Sociotechnical Review
por: Muhammad Deedahwar Mazhar Qureshi, et al.
Publicado: (2026)

Critical Review for One‐Class Classification: Recent Advances and Reality Behind Them
por: Toshitaka Hayashi, et al.
Publicado: (2026)

AI‐Assisted Literature Review: Integrating Visualization and Geometric Features for Insightful Analysis
por: Grigorios Papageorgiou, et al.
Publicado: (2025)

ICT‐Driven Data Mining Analysis in Civil Engineering: A Scientometric Review
por: Kashvi Sood
Publicado: (2025)

Artificial Intelligence‐Based Waste Management: A Review of Classification, Techniques, Issues, and Challenges
por: Dhanashree Vipul Yevle, et al.
Publicado: (2025)

A Systematic Review of Movement Tracking for Real‐Time Monitoring of Physical Exercises in the Gym
por: Sahil Bhadane, et al.
Publicado: (2025)

The Evolution of Digital Image Forgery Detection: A Comprehensive Bibliometric Review, Trends, and Future Prospects
por: Rupinder Kaur, et al.
Publicado: (2026)

Application of Explainable Artificial Intelligence (XAI) Techniques in Patients With Intracranial Hemorrhage: A Systematic Review
por: Ali Kohan, et al.
Publicado: (2025)

Automated Detection of Non‐Alcoholic Fatty Liver Disease Using Histopathological Images: A Systematic Review
por: Hamed Zamanian, et al.
Publicado: (2025)