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The Geometry Of Information Retrieval


The Geometry Of Information Retrieval
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The Geometry Of Information Retrieval


The Geometry Of Information Retrieval
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Author : C. J. van Rijsbergen
language : en
Publisher: Cambridge University Press
Release Date : 2004-08-12

The Geometry Of Information Retrieval written by C. J. van Rijsbergen and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-08-12 with Computers categories.


An important work on a new framework for information retrieval: implications for artificial intelligence, natural language processing.



The Geometry Of Information Retrieval


The Geometry Of Information Retrieval
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Author :
language : en
Publisher:
Release Date : 2004

The Geometry Of Information Retrieval written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computer science categories.


The author shows how different models of information retrieval can be combined in the same framework used to formulate quantum mechanics. The relation with quantum computing is also examined. Appendices with background on physics and mathematics are included. This is an important, ground-breaking book, with much new and original material.



Mathematics For Classical Information Retrieval Roots And Applications


Mathematics For Classical Information Retrieval Roots And Applications
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Author : Dariush Alimohammadi
language : en
Publisher: Lulu.com
Release Date : 2010-06-01

Mathematics For Classical Information Retrieval Roots And Applications written by Dariush Alimohammadi and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-01 with Education categories.


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. The primary goal of book is to create a context for understanding the principles of CIR by discussing its mathematical bases. This book can be helpful for LIS students who are studying IR but have no knowledge of mathematics. Weakness in math impairs the ability to understand current issues in IR. While LIS students are the main target of this book, it may be of interest to computer science and communications students as well.



Introduction To Information Retrieval And Quantum Mechanics


Introduction To Information Retrieval And Quantum Mechanics
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Author : Massimo Melucci
language : en
Publisher: Springer
Release Date : 2015-12-08

Introduction To Information Retrieval And Quantum Mechanics written by Massimo Melucci and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-08 with Computers categories.


This book introduces the quantum mechanical framework to information retrieval scientists seeking a new perspective on foundational problems. As such, it concentrates on the main notions of the quantum mechanical framework and describes an innovative range of concepts and tools for modeling information representation and retrieval processes. The book is divided into four chapters. Chapter 1 illustrates the main modeling concepts for information retrieval (including Boolean logic, vector spaces, probabilistic models, and machine-learning based approaches), which will be examined further in subsequent chapters. Next, chapter 2 briefly explains the main concepts of the quantum mechanical framework, focusing on approaches linked to information retrieval such as interference, superposition and entanglement. Chapter 3 then reviews the research conducted at the intersection between information retrieval and the quantum mechanical framework. The chapter is subdivided into a number of topics, and each description ends with a section suggesting the most important reference resources. Lastly, chapter 4 offers suggestions for future research, briefly outlining the most essential and promising research directions to fully leverage the quantum mechanical framework for effective and efficient information retrieval systems. This book is especially intended for researchers working in information retrieval, database systems and machine learning who want to acquire a clear picture of the potential offered by the quantum mechanical framework in their own research area. Above all, the book offers clear guidance on whether, why and when to effectively use the mathematical formalism and the concepts of the quantum mechanical framework to address various foundational issues in information retrieval.



Principles Of Visual Information Retrieval


Principles Of Visual Information Retrieval
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Author : Michael S. Lew
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-14

Principles Of Visual Information Retrieval written by Michael S. Lew and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-14 with Computers categories.


This text introduces the basic concepts and techniques in VIR. In doing so, it develops a foundation for further research and study. Divided into two parts, the first part describes the fundamental principles. A chapter is devoted to each of the main features of VIR, such as colour, texture and shape-based search. There is coverage of search techniques for time-based image sequences or videos, and an overview of how to combine all the basic features described and integrate them into the search process. The second part looks at advanced topics such as multimedia query. This book is essential reading for researchers in VIR, and final-year undergraduate and postgraduate students on courses such as Multimedia Information Retrieval, Multimedia Databases, and others.



Charting A New Course Natural Language Processing And Information Retrieval


Charting A New Course Natural Language Processing And Information Retrieval
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Author : John I. Tait
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-04-01

Charting A New Course Natural Language Processing And Information Retrieval written by John I. Tait and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-04-01 with Computers categories.


Karen Spärck Jones is one of the major figures of 20th century and early 21st Century computing and information processing. Her ideas have had an important influence on the development of Internet Search Engines. Her contribution has been recognized by awards from the natural language processing, information retrieval and artificial intelligence communities, including being asked to present the prestigious Grace Hopper lecture. She continues to be an active and influential researcher. Her contribution to the scientific evaluation of the effectiveness of such computer systems has been quite outstanding. This book celebrates the life and work of Karen Spärck Jones in her seventieth year. It consists of fifteen new and original chapters written by leading international authorities reviewing the state of the art and her influence in the areas in which Karen Spärck Jones has been active. Although she has a publication record which goes back over forty years, it is clear even the very early work reviewed in the book can be read with profit by those working on recent developments in information processing like bioinformatics and the semantic web.



Information Retrieval


Information Retrieval
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Author : C. J. Van Rijsbergen
language : en
Publisher: London ; Toronto : Butterworths
Release Date : 1979

Information Retrieval written by C. J. Van Rijsbergen and has been published by London ; Toronto : Butterworths this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with Information storage and retrieval systems categories.


"The purpose of this book is to give a thorough introduction to experimental automatic document retrieval. The topics covered broadly correspond to the components of an experimental retrieval system. A substantial amount of space is devoted to describing various formal (sometimes mathematical) models that exist for certain processes and structures in information retrieval. In the treatment of each topic the author starts from first principles and takes the reader through the subject up to developments in current research"--



Readings In Information Retrieval


Readings In Information Retrieval
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Author : Karen Sparck Jones
language : en
Publisher: Morgan Kaufmann
Release Date : 1997

Readings In Information Retrieval written by Karen Sparck Jones and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.


This compilation of original papers on information retrieval presents an overview, covering both general theory and specific methods, of the development and current status of information retrieval systems. Each chapter contains several papers carefully chosen to represent substantive research work that has been carried out in that area, each is preceded by an introductory overview and followed by supported references for further reading.



Advanced Topics In Information Retrieval


Advanced Topics In Information Retrieval
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Author : Massimo Melucci
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-06-10

Advanced Topics In Information Retrieval written by Massimo Melucci and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-10 with Computers categories.


Information retrieval is the science concerned with the effective and efficient retrieval of documents starting from their semantic content. It is employed to fulfill some information need from a large number of digital documents. Given the ever-growing amount of documents available and the heterogeneous data structures used for storage, information retrieval has recently faced and tackled novel applications. In this book, Melucci and Baeza-Yates present a wide-spectrum illustration of recent research results in advanced areas related to information retrieval. Readers will find chapters on e.g. aggregated search, digital advertising, digital libraries, discovery of spam and opinions, information retrieval in context, multimedia resource discovery, quantum mechanics applied to information retrieval, scalability challenges in web search engines, and interactive information retrieval evaluation. All chapters are written by well-known researchers, are completely self-contained and comprehensive, and are complemented by an integrated bibliography and subject index. With this selection, the editors provide the most up-to-date survey of topics usually not addressed in depth in traditional (text)books on information retrieval. The presentation is intended for a wide audience of people interested in information retrieval: undergraduate and graduate students, post-doctoral researchers, lecturers, and industrial researchers.



Introduction To Information Retrieval


Introduction To Information Retrieval
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Author : Christopher D. Manning
language : en
Publisher: Cambridge University Press
Release Date : 2008-07-07

Introduction To Information Retrieval written by Christopher D. Manning and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-07 with Computers categories.


Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. 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. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.