Description
Book SynopsisHybrid 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.
Table of Contents1. 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.
