About the Journal

Welcome to the Intelligent Retrieval Journal

Leading the Way in AI and Data Retrieval Research

The Intelligent Retrieval Journal is a premier peer-reviewed journal dedicated to advancing the study and application of artificial intelligence (AI) in the field of data retrieval. We are committed to showcasing cutting-edge research that bridges AI, machine learning, and information retrieval technologies to drive innovation across industries.

Our journal publishes high-quality, original research that explores the intersection of AI, data management, natural language processing (NLP), and information systems. By providing a platform for researchers, academics, and practitioners, we aim to push the boundaries of how data can be retrieved, processed, and utilized.


About the Journal

Scope & Focus Areas:

The Intelligent Retrieval Journal covers a broad spectrum of topics in the field of intelligent data retrieval, including, but not limited to:

  • AI and Machine Learning Algorithms for Retrieval Systems
  • Natural Language Processing (NLP) in Search Technologies
  • Contextual and Personalized Information Retrieval
  • Data Privacy, Security, and Ethical Considerations in AI Retrieval Systems
  • Applications of Intelligent Retrieval in Healthcare, E-commerce, and Business
  • Scalable Data Retrieval Solutions for Big Data

We aim to serve as a comprehensive resource for researchers, developers, industry professionals, and policymakers who are interested in the future of intelligent data retrieval systems.

DOI:10.70705

Current Issue

Vol. 2 No. 2 (2024): Volume 2 Issue 2 2024
					View Vol. 2 No. 2 (2024): Volume 2 Issue 2 2024
Published: 2024-10-17

Articles

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