Information Retrieval Models, Techniques and ApplicationsJournal: International Research Journal of Advanced Engineering and Science (IRJAES) (Vol.2, No. 2)
Publication Date: 2017-04-07
Authors : Olalere A. Abass; Oluremi A. Arowolo;
Page : 197-202
Keywords : IRS framework; models; IR techniques; recall; precision;
An Information Retrieval (IR) system focuses on the processing of data collection by means of representation, storage, and searching for the purpose of knowledge discovery in response to user request via query. The tendency of the IRS to produce relevant documents with high precision and recall to meet user's need based on query input depends on the adoption of the appropriate techniques by the search engine. In this paper, we explain the concepts of IR and traditional models in which various IR techniques rely upon. We equally give detail description of IR techniques that have been successfully applied to store, manage and retrieve documents from huge amount of data available to users of IR systems. This shows that applications of these retrieval techniques in digital libraries, information filtering system, media search, search engine and domain-specific areas of IR are capable of increasing the throughput and minimize the access time of the user with respect to information needs.
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