Introduction to Information Retrieval
by Manning, Raghavan, Schütze
Publisher: Cambridge University Press 2008
Number of pages: 496
Class-tested and coherent, this groundbreaking new textbook teaches web-era information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. Written from a computer science perspective by three leading experts in the field, it gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Although originally designed as the primary text for a graduate or advanced undergraduate course in information retrieval, the book will also create a buzz for researchers and professionals alike.
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by W.B. Croft, D. Metzler, T. Strohman - Pearson Education
This book provides an overview of the important issues in information retrieval, and how those issues affect the design and implementation of search engines. The target audience is advanced undergraduates or graduate students in computer science.
by Dariush Alimohammadi, Mary K. Bolin - Zea E-Books
This book is about Information Retrieval, particularly Classical Information Retrieval. It looks at these topics through their mathematical roots. This book can be helpful for LIS students who are studying IR but have no knowledge of mathematics.
by C. J. van Rijsbergen - Butterworth-Heinemann
The material of this book is aimed at advanced undergraduate information or computer science students, postgraduate library science students, and research workers in the field of IR. There is a new chapter on probabilistic retrieval.
by Ed Greengrass - University of Maryland
This is a survey of the state of the art in the dynamic field of information retrieval. Topics covered include: formulation of queries and topic statements, indexing of document collections, methods for computing the similarity of documents, etc.