Understanding Search Engines: Mathematical Modeling and Text Retrieval (Software, Environments, Tools), Second Edition

The Understanding Search Engines: Mathematical Modeling and Text Retrieval is a comprehensive guide to building search engines, emphasizing the crucial role of mathematical modeling in improving information retrieval.

This second edition has been updated with current information retrieval methods, including new chapters on link-structure algorithms used by search engines like Google, and a rewritten chapter on user interface with a focus on search engine usability.

The book provides detailed descriptions of important data structures, algorithms, and software, as well as practical tips for manual indexing and document preparation.

With its emphasis on mathematical foundations, this book is an essential resource for anyone looking to design their own search engine or improve the functionality of existing ones.

Whether you're a student, researcher, or industry professional, this book will give you the knowledge and tools you need to succeed in the field of information retrieval.