QUERY EXPANSION PADA MESIN PENCARI MENGUNAKAN LEXICAL DATABASE DAN VECTOR SPACE MODEL

HALIM, ABDUL and Yusliani, Novi and Sazaki, Yoppy (2018) QUERY EXPANSION PADA MESIN PENCARI MENGUNAKAN LEXICAL DATABASE DAN VECTOR SPACE MODEL. Undergraduate thesis, Sriwijaya University.

	Text RAMA_55201_09021381419090.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (4MB) | Request a copy
Preview	Text RAMA_55201_09021381419090_0008118205_0006067406_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (3MB) | Preview
	Text RAMA_55201_09021381419090_0008118205_0006067406_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (3MB) | Request a copy
	Text RAMA_55201_09021381419090_0008118205_0006067406_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (3MB) | Request a copy
	Text RAMA_55201_09021381419090_0008118205_0006067406_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (3MB) | Request a copy
	Text RAMA_55201_09021381419090_0008118205_0006067406_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (3MB) | Request a copy
	Text RAMA_55201_09021381419090_0008118205_0006067406_06.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (3MB) | Request a copy
	Text RAMA_55201_09021381419090_0008118205_0006067406_07_ref.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (3MB) | Request a copy

Abstract

The rapid increase of information flow makes it easier for users to browse and search to get information quickly, relevantly, and according to the needs of users, but often users do not get information that suits their needs because users cannot express their information needs properly or search engines that produce less relevant information. This research creates a framework for building an information retrieval system that implements Query Expansion and Vector Space Models. The Expansion query is used so that the query term input from the user can be expanded by taking synonyms from Lexical Database so as to create new query terms that match the initial queries that aim to improve search results, and Vector Space Models as modeling calculations performed on query vectors and documents. The implementation of the Query Expansion on search engines using the Lexical Database and Vector Space Model successfully results in better recall and precision values, which are 10% -15% higher and 8.63% execution times shorter than search engines that do not implement the Query Expansion. Therefore, this research can help improve search engine capabilities in providing better search results

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	mesin pencari, vector space model, Query Expansion, Lexical Database, information retrieval system, recall, precision
Subjects:	T Technology > T Technology (General) > T58.5-58.64 Information technology > T58.64 Management of information systems Production capacity. Manufacturing capacity Cf. HD69.C3 Economics Cf. TS176+ Manufacturing engineering
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Mr Halim Sobri
Date Deposited:	26 Sep 2019 02:35
Last Modified:	26 Sep 2019 02:35
URI:	http://repository.unsri.ac.id/id/eprint/8933

Actions (login required)

View Item