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

Mohammad, Nurafzan (2004) Retrieving Malay translated Al-Quran by using N-grams with relevance feedback / Nurafzan Mohammad. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

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.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Mohammad, Nurafzan
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Abu Bakar, Zainab
UNSPECIFIED
Subjects: A General Works > Indexes (General)
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences
Programme: Bachelor of Science (Hons)
Keywords: Information Retrieval, user judgment, bigram algorithm
Date: 2004
URI: https://ir.uitm.edu.my/id/eprint/98150
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