Recent Trends of Information Retrieval System: Review Based on IR Models and Applications

Access to data on the web is incredibly increasing now a day with the expansion of web-based applications. Many traditional and proposed information retrieval models and systems are available for information retrieval from the extensive collection of documents on the web. These models and procedures don’t consider exact information about the actual user and search content. This paper discusses the importance of information on IR on the web. Also, discuss the importance of various traditional information retrieval models with their pros and cons to enhance the research area for future research work. This paper also briefs on information retrieval, types of data used in the IRS, IRS process, and preprocessing of IR. The article also discusses the literature survey of information retrieval based on the system, traditional models, recent trends, and applications of IR. Current IR models suffer from significant problems of not having accurate information retrieval. This paper focuses on the need for various machine learning techniques, including advanced ML (deep learning), to overcome the exact and actual retrieval of information from a vast heterogeneous collection of databases, including various web-based applications, by improving performance.