Information retrieval in artificial intelligence in digital library - tlooto, The Most Powerful AcademicGPT

Information retrieval (IR) in digital libraries is a rapidly evolving field in which artificial intelligence (AI) plays a central and transformative role. As digital repositories increase in scale and complexity, AI technologies are essential for enabling effective, personalized, and semantically rich access to vast and heterogeneous collections spanning text, images, and multimedia. Evolution of Information Retrieval in Digital Libraries Early digital libraries relied primarily on keyword and metadata-based searching mechanisms, but this approach proved limiting given the exponential growth and diversity of digital content[1][2][3]. Over time, IR in digital libraries has developed to encompass full-text search, semantic search, and more recently, context-aware and personalized retrieval, powered by AI. AI-Enhanced Information Retrieval: Technologies and Models 1. Natural Language Processing (NLP) and Deep Learning The integration of NLP and deep learning models has significantly advan