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Title: Comparison and Evaluation of Information Retrieval Models
Authors: Agha Azeem Rehma, Mazhar Javed Awan, Ilyas Butt
Journal: VFAST Transactions on Software Engineering
Publisher: VFAST-Research Platform
Country: Pakistan
Year: 2018
Volume: 6
Issue: 1
Language: English
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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