Information retrieval approaches: A comparative study

Autor:	Assmaa Moutaoukkil, Ali Idarrou, Imane Belahyane
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	Computer Networks and Communications Hardware and Architecture information retrieval NLP graph TF-IDF document classification KNN fuzzy K-means deep learning BERT transformers Electrical and Electronic Engineering
Zdroj:	International journal of electrical and computer engineering systems Volume 13 Issue 10
ISSN:	1847-7003 1847-6996
Popis:	The area of information retrieval (IR) has taken on increasing importance in recent years. This field is now of interest to large communities in several application domains (security, medicine, aeronautics, etc.). IR studies find relevant information from the semi-unstructured type of data. As the information resources generated after the search can be extensive in quantity and different in quality, it is essential to rank these results according to the degree of relevance. This paper focuses on text information retrieval (TIR) and emphasizes the importance of each IR approach. This study presents insightful aspects of TIR and provides a comparative study between some proposed approaches and models. Each model offers IR advantages and suffers from several limitations.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b21168c35335f3272b357500aa2eaa9 https://hrcak.srce.hr/290496 Zobrazit plný text záznamu