Jurnal
Improving the Precision of Al-Quran Retrieval Using Latent Semantic Indexing with Background Knowledge
- Bagikan:
The aim of this study is to test the effectiveness of
Al-Quran precision retrieval using LSI with
background knowledge. The primary data used
during the testing is the English translation of the
Al-Quran where as the English translated hadith is
used as the secondary data which acts as the
background knowledge. SVD that is an LSI
algorithm, indexes training data to be accessed by
query. Experiments conducted are encircled around
the two models i.e. LSI with the background
knowledge and LSI without the background
knowledge. The retrieval effectiveness is measured
using the standard precision and recall measures.
Detail Information
| Item Type |
Jurnal
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|---|---|
| Penulis |
Susanti - Personal Name
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| Student ID | |
| Dosen Pembimbing | |
| Penguji | |
| Kode Prodi PDDIKTI | |
| Edisi |
Published
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| Departement | |
| Kontributor | |
| Bahasa |
English
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| Penerbit | SATIN Sains dan Teknologi Informasi : Pekanbaru., 2012 |
| Edisi |
Published
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| Subyek | |
| No Panggil | |
| Copyright |
STMIK Amik Riau
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| Doi |
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