Mathematics for Classical Information Retrieval by Dariush Alimohammadi
Mathematics for Classical Information Retrieval - Table of Contents
PART 1: ROOTS (DISCRETE MATHEMATICS)
- 1. Foundations of Set Theory
- 2. Principles of Mathematical Logic
- 3. The Number System
- 4. Fundamentals of Combinatorics
- 5. Other Areas of Basic Mathematics
PART 2 & 3: APPLICATIONS & RESEARCH
- 6. Basics of Classical Information Retrieval
- 7. Boolean Model of Information Retrieval
- 8. Vector Space Model of Information Retrieval
- 9. Probabilistic Model of Information Retrieval
- 10. Mathematics in IR Instructional and Research Sectors
What You Will Learn in Mathematics for Classical Information Retrieval
Mathematics for Classical Information Retrieval by Dariush Alimohammadi is a foundational, mathematically grounded textbook that connects core discrete mathematics to the structural mechanics of modern search systems. Published for students and researchers in information science and computer science, this comprehensive volume guides readers through set theory operations, propositional logic, number systems, combinatorics, the Boolean model of IR, linear algebraic vector space models, and probabilistic retrieval frameworks with exceptional pedagogical clarity and analytical structure.
Designed for undergraduate and graduate students in library and information science, search engine engineers, text mining researchers, and computational linguists, this accessible text demystifies the quantitative mechanics behind indexing and querying. Alimohammadi details step-by-step mathematical logic for exact-match retrieval, vector cosine similarity calculations, term weighting schemes, and probabilistic relevance metrics. Whether you are building search algorithms, designing digital library indexing, or exploring instructional IR mathematics, this book offers an indispensable roadmap.
Recognized globally for its clear bridge between pure mathematics and applied search technologies, it stands as one of the best information retrieval mathematics books for self-study. By balancing discrete mathematical foundations with practical retrieval architectures, it serves as an essential tool for mastering classical information retrieval theory with confidence.
Book Details & Specifications
Title:
Mathematics for Classical Information Retrieval by Dariush Alimohammadi
Publisher:
Zea E-Books
Year:
2010
Pages:
89
Type:
PDF
Language:
English
ISBN-10 #:
1609620046
ISBN-13 #:
978-1609620042
License:
Open Access / Institutional Repository (UNL)
Amazon:
Amazon
About the Author: Dariush Alimohammadi
The author Dariush Alimohammadi
is a prominent academic and researcher in information science, library systems, and quantitative information retrieval. He has published extensively on digital libraries, information architecture, and the mathematical foundations of search engine technology, focusing on bridging computational concepts for information professionals.
Through Mathematics for Classical Information Retrieval, Alimohammadi delivers a structured and accessible guide tailored specifically for information science curricula. His clear logical progressions, systematic explanation of retrieval models, and focus on fundamental discrete math make this text a classic reference for information retrieval mathematics trusted by educators and self-directed learners worldwide.
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