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Thesaurus-Based Query Expansion On Information Retrieval To Improve The Quality Of Document Searching Result
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With the role of the internet as an unlimited source of information originating from various people around
the world with a variety of languages and various forms of delivery such as text documents, images, audio,
or video. Information can be accessed wherever we are in real-time, anywhere, and any place. A search
Engine is a medium that is used in finding various information on the internet. The phenomenon of problems
that arise in the search for information on the internet is the search results of the desired topic are often not relevant to the keywords entered. Information Retrieval is a system, method, and procedure used to recover information stored from a collection of information based on a query entered by the user. The performance of searches based on Information Retrieval can be improved by various methods. One of them uses the Query Expansion method, which works by reformulating the initial query by adding several terms using Thesaurus to the query entered so that it is expected to be able to increase the relevance of data obtained from search results. The contribution obtained from this research is the development of an Information Retrieval Systembased document search engine that can improve data relevance and the quality of document search results. Based on the test results using the recall and precision methods, a graph was obtained showing that the relevance results with the Query Expansion method had increased in the level of data relevance. Because when using expansion queries, the recall results are higher, allowing more relevant documents to be retrieved.
Yiyi Supendi - Personal Name
Erwin Yulianto - Personal Name
Deshinta Arrova Dewi - Personal Name
KM Syarif - Personal Name
Erwin Yulianto - Personal Name
Deshinta Arrova Dewi - Personal Name
KM Syarif - Personal Name
Vol. 101 No.21
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Text
English
JATIT
2023
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APA Citation
Yiyi Supendi. (2023).Thesaurus-Based Query Expansion On Information Retrieval To Improve The Quality Of Document Searching Result.(Electronic Thesis or Dissertation). Retrieved from https://localhost/etd