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This book is intended for those in the library community with an understanding of library processes and a desire to actually make use of scientific management techniques. The emphasis is on presenting insights into which tool may be appropriate for particular problems, not on the isolated understanding of theoretical issues. It does not require an extensive mathematical background. It shows well-developed examples of solving library problems and features chapter summaries and questions for further study.

Information retrieval used to mean looking through thousands of strings of texts to find words or symbols that matched a user's query. Today, there are many models that help index and search more effectively so retrieval takes a lot less time. Information retrieval (IR) is often seen as a subfield of computer science and shares some modeling, applications, storage applications and techniques, as do other disciplines like artificial intelligence, database management, and parallel computing. This book introduces the topic of IR and how it differs from other computer science disciplines. A...

This will be the third edition of the highly successful "Text Information Retrieval Systems." The book's purpose is to teach people who will be searching or designing text retrieval systems how the systems work. For designers, it covers problems they will face and reviews currently available solutions to provide a basis for more advanced study. For the searcher its purpose is to describe why such systems work as they do. The book is primarily about computer-based retrieval systems, but the principles apply to nonmechanized ones as well. The book covers the nature of information, how it is...