Mathematics for Classical Information Retrieval
by Dariush Alimohammadi, Mary K. Bolin
Publisher: Zea E-Books 2010
Number of pages: 89
This book is about Information Retrieval (IR), particularly Classical Information Retrieval (CIR). It looks at these topics through their mathematical roots. The mathematical bases of CIR are briefly reviewed, followed by the most important and interesting models of CIR, including Boolean, Vector Space, and Probabilistic.
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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.
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 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 Peter Ingwersen - Taylor Graham Publishing
The book establishes a unifying scientific approach to IR – a synthesis based on the concept of IR interaction and the Cognitive Viewpoint. It present research and developments in the field of information retrieval based on a new categorisation.