Search and Recommendation Procedure with the Help of Artificial Intelligence

Abstract

This comprehensive research paper examines the integration of Artificial Intelligence (AI) in search and recommendation systems, focusing on developments. The study delves into various AI techniques, including machine learning algorithms, natural language processing, and deep learning, and their applications in enhancing search procedures and recommendation systems. Through an extensive literature review, analysis of case studies, and examination of current challenges, this paper provides in-depth insights into the state-of-the-art AI-driven search and recommendation procedures. The research also discusses ethical considerations, future trends, and potential innovations in this rapidly evolving field, offering a holistic view of the subject matter for both industry professionals and academic researchers.