Information Retrieval

The book Information Retrieval provides an in-depth exploration of information retrieval systems. It starts with an introduction to information retrieval, discussing its components, architecture, and the various challenges and applications. It then delves into document indexing, storage, and compression, explaining concepts such as inverted indexes, compression techniques, document representation, and the storage and retrieval of indexed documents. The book also covers different retrieval models, including the Boolean retrieval model, vector space model, and probabilistic model. Additionally, it addresses spelling correction in information retrieval systems, introducing various forms and techniques for effective spelling correction.

Autorentext

Dr. Surabhi Shanker is a dedicated professional with a Ph.D. in Web Ontology Language. With over a decade of experience in academia, she has excelled as an Associate Professor, specializing in subjects like PHP, DBMS, and ML. Her passion for research is evident through her numerous publications and participation in conferences and workshop.