The Modern Algebra of Information Retrieval
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Beschreibung
Includes supplementary material: sn.pub/extras
Autor*in
Sándor Dominich
Themen in »The Modern Algebra of Information Retrieval«
ALS Algebra Bayesian Networks Computer DOM Information Retrieval Lattice Theory Mathematical Foundations Probabilistic Methods Vector Space Retrieval Web Retrieval Web Search algorithms computer science modeling
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From the reviews:
"... this book offers a unique approach to the important topic of information retrieval by providing mathematical foundations based on modern algebra... I can easily recommend this book as a reference for any of the technical IR courses offered at several universities." from the ACM Reviews by Donald H. Kraft, Louisiana State University, USA
"Retrieval methods and information retrieval in general are here treated in a unified manner within abstract algebraic structures … . Each chapter is supplemented with exercises and problems (with hints to solutions in the appendix) … . The book is beneficial both for better understanding the existing information retrieval methods and for the creation of new ones." (Antonín Ríha, Zentralblatt MATH, Vol. 1149, 2008)
“This book treats retrieval methods … and IR in general in a unified manner within the one formal framework of modern algebra, namely abstract algebraic structures (primarily lattices). … Exercises and problems are located at the end of every chapter … . the book should be helpful for a wide range of readers from graduate students and educators to researchers and system developers coming from a variety of fields such as computer science … . Every chapter concludes with a References and further reading section.” (John S. Griffin, SIGACT News, Vol. 41 (1), 2010)()