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 enginesThis book is aimed primarily at graduates and researchers in the information retrieval domain.
Les mer
The book 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.
Les mer
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.
Les mer

Produktdetaljer

ISBN
9781032035680
Publisert
2022-11-22
Utgiver
Vendor
Chapman & Hall/CRC
Vekt
453 gr
Høyde
234 mm
Bredde
156 mm
Aldersnivå
U, P, 05, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
234