Supervised Term Weighting Method with Class Factor to Improve Relevant Document Ranking in Imbalance Short Text: Case Study Al Quran Document Retrieval

Holle, Khadijah Fahmi Hayati (2017) Supervised Term Weighting Method with Class Factor to Improve Relevant Document Ranking in Imbalance Short Text: Case Study Al Quran Document Retrieval. Research Report. Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LP2M) UIN Maulana Malik Ibrahim Malang, Malang. (Unpublished)

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Item Type: Research (Research Report)
Keywords: Weighting Method; Document Ranking; Documen Retrieval
Divisions: Faculty of Technology > Department of Informatics Engineering
Depositing User: Dian Anesti
Date Deposited: 28 May 2018 07:15

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