Hybrid Intelligent Systems for Information Retrieval

Anuradha D Thakare (PC College of Eng., Pune, India), Shilpa Laddha, Ambika Pawar (Persistent University, Pune)

$116

Paperback

Forthcoming
Pre-Order now

QTY:

English

Chapman & Hall/CRC
08 October 2024

Storage media & peripherals; Information retrieval; Computer networking & communications

Series: Chapman & Hall/CRC Computational Intelligence and Its Applications

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.

By: Anuradha D Thakare (PC College of Eng. Pune India), Shilpa Laddha, Ambika Pawar (Persistent University, Pune)
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
ISBN: 9781032035703
ISBN 10: 1032035706
Series: Chapman & Hall/CRC Computational Intelligence and Its Applications
Pages: 234
Publication Date: 08 October 2024
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Paperback
Publisher's Status: Forthcoming

1. Introduction. 2. Matching Functions. 3. Information Retrieval Models. 4. Hybrid Swarm Intelligence Approaches for Optimal Information Retrieval. 5. Information Retrieval and Semantic Search. 6. Ontology Creation using Clustering Technique. 7. Natural Language Processing for Information Retrieval. 8. Deep learning (DL) for Information retrieval (IR). 9. Application of Ontology in Domain Specific Information Retrieval: A case study. 10. Applications of Natural Language Processing and Information Retrieval.