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
Published:
2024-10-17
Published By: 