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.
Home page url
Download or read it online for free here:
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.
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 Manning, Raghavan, Schütze - Cambridge University Press
This textbook teaches web-era information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It is written from a computer science perspective by three leading experts in the field.