Development of search engine based on vector space model
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Date
2019
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UNIVERSITY’S MOHAMED BOUDIAF OF M’SILA Faculty of Mathematics and computer sciences -DEPARTMENT: Computer Science - OPTION: Information Systems and Software Engineering
Abstract
The great acceleration and wonderful developments in the processing of natural languages have
facilitated many things. One of the areas that benefit from this development is information retrieval
systems, so that the capabilities of the search engines are increased. There is also a development in
the information retrieval models. In end of this dissertation, we have developed a system of
information retrieval based on the technology of the vector space model, and works to measure the
similarity between documents and query.
Description
Keywords
information retrieval, vector space model, term frequency, term frequency weight, inverse document frequency, similarity ranking.