Document And Query Expansion Method With Dirichlet Smoothing Model For Retrieval Of Metadata Content In Digital Resource Objects

• 第一著者: Alma’aitah, Wafa’ Za’al Mohammad
• フォーマット: 学位論文
• 言語: English
• 出版事項: 2020
• 主題: QA75.5-76.95 Electronic computers. Computer science
• オンライン･アクセス: http://eprints.usm.my/56033/1/Pages%20from%20WAFA%E2%80%99%20ZA%E2%80%99AL%20MOHAMMAD%20ALMA%E2%80%99AITAH%20cut.pdf; http://eprints.usm.my/56033/

In this thesis, an IR framework is proposed which consists of three main stages: enhanced document expansion (EDE) method, adaptive structured Dirichlet smoothing (ASDS) model, and semantic query expansion (SQE) method. The first stage involves proposing an EDE method in which a new procedure is in...