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Comparison and Evaluation of Information Retrieval Models


Article Information

Title: Comparison and Evaluation of Information Retrieval Models

Authors: Agha Azeem Rehma, Mazhar Javed Awan, Ilyas Butt

Journal: VFAST Transactions on Software Engineering

HEC Recognition History
Category From To
Y 2024-10-01 2025-12-31
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30

Publisher: VFAST-Research Platform

Country: Pakistan

Year: 2018

Volume: 6

Issue: 1

Language: English

DOI: 10.21015/vtse.v13i1.496

Categories

Abstract

Recently data is growing day by day in the internet . Data is in the form of  Structured , unstructured  and semi structured in nature. Information Retrieval is the field which is regarding the study of retrieval of unstructured or semi structured documents. For every aspect IR is being used in there are different models being used in them. There are so many models in so many applications,each having some relation to one another.In this paper we will evaluate and compare various IR model techniques and algorithms and see which model excels in which field of application.


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