Development of search engine based on vector space model
| dc.contributor.author | SAADOUNE, Billal | |
| dc.date.accessioned | 2019-07-25T12:36:56Z | |
| dc.date.available | 2019-07-25T12:36:56Z | |
| dc.date.issued | 2019 | |
| dc.description.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. | en_US |
| dc.identifier.uri | http://dspace.univ-msila.dz:8080//xmlui/handle/123456789/15946 | |
| dc.language.iso | en | en_US |
| dc.publisher | UNIVERSITY’S MOHAMED BOUDIAF OF M’SILA Faculty of Mathematics and computer sciences -DEPARTMENT: Computer Science - OPTION: Information Systems and Software Engineering | en_US |
| dc.subject | information retrieval, vector space model, term frequency, term frequency weight, inverse document frequency, similarity ranking. | en_US |
| dc.title | Development of search engine based on vector space model | en_US |
| dc.type | Thesis | en_US |