Introduction to Information Retrieval

Author: Christopher D. Manning
Publisher: Cambridge University Press
ISBN: 1139472100
Format: PDF, ePub
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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.

Introduction to Information Retrieval and Quantum Mechanics

Author: Massimo Melucci
Publisher: Springer
ISBN: 3662483130
Format: PDF, Mobi
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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.

Introduction to Modern Information Retrieval

Author: Gobinda G. Chowdhury
Publisher: Facet Publishing
ISBN: 185604694X
Format: PDF, ePub, Docs
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An information retrieval (IR) system is designed to analyse, process and store sources of information and retrieve those that match a particular user's requirements. A bewildering range of techniques is now available to the information professional attempting to successfully retrieve information. It is recognized that today's information professionals need to concentrate their efforts on learning the techniques of computerized IR. However, it is this book's contention that it also benefits them to learn the theory, techniques and tools that constitute the traditional approaches to the organization and processing of information. In fact much of this knowledge may still be applicable in the storage and retrieval of electronic information in digital library environments. The fully revised third edition of this highly regarded textbook has been thoroughly updated to incorporate major changes in this rapidly expanding field since the second edition in 2004, and a complete new chapter on citation indexing has been added. Unique in its scope, the book covers the whole spectrum of information storage and retrieval, including: users of IR and IR options; database technology; bibliographic formats; cataloguing and metadata; subject analysis and representation; automatic indexing and file organization; vocabulary control; abstracts and indexing; searching and retrieval; user-centred models of IR and user interfaces; evaluation of IR systems and evaluation experiments; online and CD-ROM IR; multimedia IR; hypertext and mark-up languages; web IR; intelligent IR; natural language processing and its applications in IR; citation analysis and IR; IR in digital libraries; and trends in IR research. Illustrated with many examples and comprehensively referenced for an international audience, this is an indispensable textbook for students of library and information studies. It is also an invaluable aid for information practitioners wishing to brush up on their skills and keep up to date with the latest techniques.

An Introduction to Information Retrieval

Author: CTI Reviews
Publisher: Cram101 Textbook Reviews
ISBN: 1467255467
Format: PDF, ePub, Mobi
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Facts101 is your complete guide to An Introduction to Information Retrieval. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.

Introduction to Information Retrieval and Text Analytics

Author: Daniel J. Taipala
Publisher:
ISBN: 9781364453107
Format: PDF, Mobi
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This book introduces some of the key concepts in both information retrieval (the ability to search for textual information) and text analytics (the ability to apply statistical procedures to gain insight into large data sets). These topics are increasingly important given the exponential increases in data collection from internet connected devices. Learning the concepts of information retrieval, machine learning, Big Data, and analytics include both theory and implementation elements. It is not enough to study the theory behind the statistical methods employed, or to look at the attributes of infrastructure solutions such as Hadoop. These elements, and more, are essential to learning the subject, but one must go further and study the implementation of information retrieval and analytics solutions. To address the need for both theory and application, this book takes a slightly different approach as it takes reader on a fascinating journey that begins by learning basic principles of information retrieval and analytics. We then continue by exploring Hadoop, examining fundamental map-reduce algorithms implemented in python, and finally demonstrating how these concepts are applied with common use cases.

Mit dem Herzen eines Buddha

Author: Tara Brach
Publisher: O.W. Barth eBook
ISBN: 3426452251
Format: PDF
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Wie lernt man, sich so anzunehmen, wie man ist? Wie stärkt man sein Selbstwertgefühl? Tara Brach führt den Leser auf den Weg des inneren Friedens, der zeigt, wie man im eigenen Herzen Zuflucht finden kann. Die berühmte Lehrerin gibt genaue Anleitungen zu Meditation und Reflexion, so dass jeder zu einem positiven Verhältnis zu sich selbst finden kann. »Mit dem Herzen eines Buddha lädt uns ein, uns mit all unserem Schmerz, unseren Ängsten und Sorgen selbst zu umarmen und mit leichtem, doch festem Schritt den Pfad des Verständnisses und Mitgefühls zu gehen.« Thich Nhat Hanh

Information Retrieval

Author: Stefan Büttcher
Publisher: MIT Press
ISBN: 0262528878
Format: PDF, ePub, Docs
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An introduction to information retrieval, the foundation for modern search engines, that emphasizes implementation and experimentation.