Future of statistical modeling in information retrieval: A survey

Information retrieval (IR) is a critical component of modern information systems, aimed at improving the efficiency and relevance of search results. Statistical modeling has a crucial role in the improvement of IR systems, providing methods to rank and retrieve documents based on user queries. This paper surveys the future directions of statistical modeling in IR, focusing on emerging trends, technologies, and methodologies. We explore the convergence of statistical modeling with advancements in machine learning, natural language processing, and big data analytics. Additionally, we address the challenges faced and potential solutions for integrating these advancements into practical IR systems. The survey concludes with a discussion on the anticipated impact of these developments on the field of information retrieval.