INTRODUCTION TO INFORMATION RETRIEVAL

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Introduction To Information Retrieval

Author : Christopher D. Manning
ISBN : 9781139472104
Genre : Computers
File Size : 77.55 MB
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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.
Category: Computers

Introduction To Information Retrieval And Quantum Mechanics

Author : Massimo Melucci
ISBN : 3662569167
Genre : Computers
File Size : 48.4 MB
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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.
Category: Computers

Information Retrieval

Author : Stefan Büttcher
ISBN : 9780262528870
Genre : Computers
File Size : 48.38 MB
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An introduction to information retrieval, the foundation for modern search engines, that emphasizes implementation and experimentation.
Category: Computers

Introduction To Modern Information Retrieval

Author : Gobinda G. Chowdhury
ISBN : 9781856046947
Genre : Information organization
File Size : 26.22 MB
Format : PDF, Kindle
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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.
Category: Information organization

An Introduction To Neural Information Retrieval

Author : Bhaskar Mitra
ISBN : 1680835327
Genre :
File Size : 55.69 MB
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Efficient Query Processing for Scalable Web Search will be a valuable reference for researchers and developers working on This tutorial provides an accessible, yet comprehensive, overview of the state-of-the-art of Neural Information Retrieval.
Category:

Bridging Between Information Retrieval And Databases

Author : Nicola Ferro
ISBN : 9783642547980
Genre : Computers
File Size : 81.6 MB
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The research domains of information retrieval and databases have traditionally adopted different approaches to information management. However, in recent years, there has been an increasing cross-fertilization among the two fields and now many research challenges are transversal to them. With this in mind, a winter school was organized in Bressanone, Italy, in February 2013, within the context of the EU-funded research project PROMISE (Participative Research Laboratory for Multimedia and Multilingual Information Systems Evaluation). PROMISE aimed at advancing the experimental evaluation of complex multimedia and multilingual information systems in order to support individuals, commercial entities and communities, who design, develop, employ and improve such complex systems. The overall goal of PROMISE was to deliver a unified environment collecting data, knowledge, tools and methodologies and to help the user community involved in experimental evaluation. This book constitutes the outcome of the PROMISE Winter School 2013 and contains 9 invited lectures from the research domains of information retrieval and databases plus short papers of the best student poster awards. A large variety of topics are covered, including databases, information retrieval, experimental evaluation, metrics and statistics, semantic search, keyword search in databases, semi-structured search, evaluation both in information retrieval and databases, crowdsourcing and social media.
Category: Computers

Lectures On Information Retrieval

Author : Italy) European Summer School in Information Retrieval 2000 (Varenna
ISBN : 9783540419334
Genre : Business & Economics
File Size : 33.15 MB
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Information Retrieval (IR) is concerned with the effective and efficient retrieval of information based on its semantic content. The central problem in IR is the quest to find the set of relevant documents, among a large collection containing the information sought, satisfying a user's information need usually expressed in a natural language query. Documents may be objects or items in any medium: text, image, audio, or indeed a mixture of all three. This book presents 12 revised lectures given at the Third European Summer School in Information Retrieval, ESSIR 2000, held at the Villa Monastero, Varenna, Italy, in September 2000. The first part of the book is devoted to the foundation of IR and related areas; the second part on advanced topics addresses various current issues, from usability aspects to Web searching and browsing.
Category: Business & Economics

Information Retrieval Technology

Author : Gary Geunbae Lee
ISBN : 9783642047688
Genre : Computers
File Size : 69.22 MB
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Asia Information Retrieval Symposium (AIRS) 2009 was the ?fth AIRS conf- ence in the seriesestablished in 2004.The ?rst AIRS washeld in Beijing, China, the second in Jeju, Korea, the third in Singapore and the fourth in Harbin, China. The AIRS conferences trace their roots to the successful Information Retrieval with Asian Languages (IRAL) workshops, which started in 1996. The AIRS series aims to bring together international researchers and dev- opers to exchange new ideas and the latest results in information retrieval. The scope of the conference encompassed the theory and practice of all aspects of information retrieval in text, audio, image, video, and multimedia data. AIRS2009received82submissions,fromwhichwecarefullyselected18regular papers(22%)and20(24%)postersthroughadouble-blindreviewingprocess.We are pleased to report that the conference proceedings include contributions from not only Asian countries,but also from Finland, Italy, Australia,UK and USA. We are grateful to Elizabeth Liddy, chair of ACM SIGIR, for accepting to be the honorary conference chair, and to Hokkaido University for hosting the c- ference. We thank the Information Retrieval Facility, Microsoft Research Asia, Ricoh, Ltd., Global COE Program “Center for Next-Generation Information TechnologyBasedonKnowledgeDiscoveryandKnowledgeFederation” andS- poro International Communication Plaza Foundation for sponsoring the conf- ence, and Springer for publishing the conference proceedings as part of their Lecture Notes in Computer Science (LNCS) series. We also thank ACM SIGIR and IPSJ SIGFI for giving the conference an “in cooperation with” status.
Category: Computers

Learning To Rank For Information Retrieval

Author : Tie-Yan Liu
ISBN : 9781601982445
Genre : Computers
File Size : 27.48 MB
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Learning to Rank for Information Retrieval is an introduction to the field of learning to rank, a hot research topic in information retrieval and machine learning. It categorizes the state-of-the-art learning-to-rank algorithms into three approaches from a unified machine learning perspective, describes the loss functions and learning mechanisms in different approaches, reveals their relationships and differences, shows their empirical performances on real IR applications, and discusses their theoretical properties such as generalization ability. As a tutorial, Learning to Rank for Information Retrieval helps people find the answers to the following critical questions: To what respect are learning-to-rank algorithms similar and in which aspects do they differ? What are the strengths and weaknesses of each algorithm? Which learning-to-rank algorithm empirically performs the best? Is ranking a new machine learning problem? What are the unique theoretical issues for ranking as compared to classification and regression? Learning to Rank for Information Retrieval is both a guide for beginners who are embarking on research in this area, and a useful reference for established researchers and practitioners.
Category: Computers