Retrieving Malay translated Al-Quran by using N-grams with relevance feedback / Nurafzan Mohammad

Information Retrieval is one of the fields in information technology that perform a task to search effectively and efficiency. This project is broad the study on the information retrieval. To ensure retrieving the information works effectively, relevance feedback technique implement in this project....

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Main Author:	Mohammad, Nurafzan
Format:	Thesis
Language:	English
Published:	2004
Subjects:	Indexes (General)
Online Access:	https://ir.uitm.edu.my/id/eprint/98150/1/98150.pdf
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id	my-uitm-ir.98150
record_format	uketd_dc
spelling	my-uitm-ir.981502024-07-29T09:42:01Z Retrieving Malay translated Al-Quran by using N-grams with relevance feedback / Nurafzan Mohammad 2004 Mohammad, Nurafzan Indexes (General) Information Retrieval is one of the fields in information technology that perform a task to search effectively and efficiency. This project is broad the study on the information retrieval. To ensure retrieving the information works effectively, relevance feedback technique implement in this project. Relevance feedback technique help to reduce uncertainty of documents retrieve by incorporating user's feedback in the system. Where the result is retrieved based on user judgment instead of computer generated result. This project also employs bigram algorithm as a retrieval method that is used to retrieve the relevant al-Quran documents based on user's query. 2004 Thesis https://ir.uitm.edu.my/id/eprint/98150/ https://ir.uitm.edu.my/id/eprint/98150/1/98150.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Abu Bakar, Zainab
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Abu Bakar, Zainab
topic	Indexes (General)
spellingShingle	Indexes (General) Mohammad, Nurafzan Retrieving Malay translated Al-Quran by using N-grams with relevance feedback / Nurafzan Mohammad
description	Information Retrieval is one of the fields in information technology that perform a task to search effectively and efficiency. This project is broad the study on the information retrieval. To ensure retrieving the information works effectively, relevance feedback technique implement in this project. Relevance feedback technique help to reduce uncertainty of documents retrieve by incorporating user's feedback in the system. Where the result is retrieved based on user judgment instead of computer generated result. This project also employs bigram algorithm as a retrieval method that is used to retrieve the relevant al-Quran documents based on user's query.
format	Thesis
qualification_level	Bachelor degree
author	Mohammad, Nurafzan
author_facet	Mohammad, Nurafzan
author_sort	Mohammad, Nurafzan
title	Retrieving Malay translated Al-Quran by using N-grams with relevance feedback / Nurafzan Mohammad
title_short	Retrieving Malay translated Al-Quran by using N-grams with relevance feedback / Nurafzan Mohammad
title_full	Retrieving Malay translated Al-Quran by using N-grams with relevance feedback / Nurafzan Mohammad
title_fullStr	Retrieving Malay translated Al-Quran by using N-grams with relevance feedback / Nurafzan Mohammad
title_full_unstemmed	Retrieving Malay translated Al-Quran by using N-grams with relevance feedback / Nurafzan Mohammad
title_sort	retrieving malay translated al-quran by using n-grams with relevance feedback / nurafzan mohammad
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2004
url	https://ir.uitm.edu.my/id/eprint/98150/1/98150.pdf
_version_	1811768892167553024

Retrieving Malay translated Al-Quran by using N-grams with relevance feedback / Nurafzan Mohammad

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