Search Results - "Yasir Hadi Farhan"

Incorporating Deep Median Networks for Arabic Document Retrieval Using Word Embeddings-Based Query Expansion by Yasir Hadi Farhan, Mohanaad Shakir, Mustafa Abd Tareq, Boumedyen Shannaq

“…The information retrieval (IR) process often encounters a challenge known as query-document vocabulary mismatch, where user queries do not align with document…”
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Word-embedding-based query expansion: Incorporating Deep Averaging Networks in Arabic document retrieval by Farhan, Yasir Hadi, Mohd Noah, Shahrul Azman, Mohd, Masnizah, Atwan, Jaffar

“…One of the main issues associated with search engines is the query–document vocabulary mismatch problem, a long-standing problem in Information Retrieval (IR)…”
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Word Embeddings-Based Pseudo Relevance Feedback Using Deep Averaging Networks for Arabic Document Retrieval by Farhan, Yasir Hadi, Mohd, Masnizah, Noah, Shahrul Azman Mohd, Atwan, Jaffar

“…Pseudo relevance feedback (PRF) is a powerful query expansion (QE) technique that prepares queries using the top k pseudorelevant documents and choosing…”
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Incorporating Deep Median Networks for Arabic Document Retrieval Using Word Embeddings-Based Query Expansion by Yasir Hadi Farhan, Mohanaad Shakir, Mustafa Abd Tareq, Boumedyen Shannaq

“…The information retrieval (IR) process often encounters a challenge known as query-document vocabulary mismatch, where user queries do not align with document…”
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Survey of Automatic Query Expansion for Arabic Text Retrieval by Farhan, Yasir Hadi, Mohd, Masnizah, Noah, Shahrul Azman Mohd

“…Information need has been one of the main motivations for a person using a search engine. Queries can represent very different information needs. Ironically, a…”
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