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Hybrid Intelligent Systems for Information Retrieval [#473331]
English | 2022 | ISBN: 1032035684 | 253 pages | True PDF | 7.86 MB
Hybrid Intelligent Systems for Information Retrieval covers three areas along with the introduction to Intelligent IR, i.e., Optimal Information Retrieval Using Evolutionary Approaches, Semantic Search for Web Information Retrieval, and Natural Language Processing for Information Retrieval.
• Talks about the design, implementation, and performance issues of the hybrid intelligent information retrieval system in one book
• Gives a clear insight into challenges and issues in designing a hybrid information retrieval system
• Includes case studies on structured and unstructured data for hybrid intelligent information retrieval
• Provides research directions for the design and development of intelligent search engines
This book is aimed primarily at graduates and researchers in the information retrieval domain.
https://rapidgator.net/file/11c1f77c94854ebe2bc2a0e664b2e90e/egain.H.I.S.f.I.R.rar.html
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