Effective Information Retrieval From The Internet
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Effective Information Retrieval From The Internet
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Author : Alison Stacey
language : en
Publisher: Elsevier
Release Date : 2004-07-31
Effective Information Retrieval From The Internet written by Alison Stacey and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-07-31 with Computers categories.
Effective Information Retrieval from the Internet discusses practical strategies which enable the advanced web user to locate information effectively and to form a precise evaluation of the accuracy of that information. Although the book provides a brief but thorough review of the technologies which are available for these purposes, most of the book concerns practical ‘future-proof’ techniques which are independent of changes in the tools available. For example, the book covers: how to retrieve salient information quickly; how to remove or compensate for bias; and tuition of novice Internet users. Importantly, the book enables readers to develop strategies which will continue to be useful despite the rapidly-evolving state of the Internet and Internet technologies - it is not about technological tricks Enables readers to be aware of and compensate for bias and errors which are ubiquitous on the Internet Provides contemporary information on the deficiencies in web skills of novice users as well as practical techniques for teaching such users
Information Retrieval
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Author : Ayse Goker
language : en
Publisher: John Wiley & Sons
Release Date : 2009-12-15
Information Retrieval written by Ayse Goker and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-15 with Technology & Engineering categories.
This book is an essential reference to cutting-edge issues and future directions in information retrieval Information retrieval (IR) can be defined as the process of representing, managing, searching, retrieving, and presenting information. Good IR involves understanding information needs and interests, developing an effective search technique, system, presentation, distribution and delivery. The increased use of the Web and wider availability of information in this environment led to the development of Web search engines. This change has brought fresh challenges to a wider variety of users’ needs, tasks, and types of information. Today, search engines are seen in enterprises, on laptops, in individual websites, in library catalogues, and elsewhere. Information Retrieval: Searching in the 21st Century focuses on core concepts, and current trends in the field. This book focuses on: Information Retrieval Models User-centred Evaluation of Information Retrieval Systems Multimedia Resource Discovery Image Users’ Needs and Searching Behaviour Web Information Retrieval Mobile Search Context and Information Retrieval Text Categorisation and Genre in Information Retrieval Semantic Search The Role of Natural Language Processing in Information Retrieval: Search for Meaning and Structure Cross-language Information Retrieval Performance Issues in Parallel Computing for Information Retrieval This book is an invaluable reference for graduate students on IR courses or courses in related disciplines (e.g. computer science, information science, human-computer interaction, and knowledge management), academic and industrial researchers, and industrial personnel tracking information search technology developments to understand the business implications. Intermediate-advanced level undergraduate students on IR or related courses will also find this text insightful. Chapters are supplemented with exercises to stimulate further thinking.
Social Information Retrieval Systems Emerging Technologies And Applications For Searching The Web Effectively
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Author : Goh, Dion
language : en
Publisher: IGI Global
Release Date : 2007-10-31
Social Information Retrieval Systems Emerging Technologies And Applications For Searching The Web Effectively written by Goh, Dion and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-31 with Business & Economics categories.
The wealth of information accessible on the Internet has grown exponentially since its advent. This mass of content must be systemically sifted to glean pertinent data, and the utilization of the collective intelligence of other users, or social information retrieval, is an innovative, emerging technique. Social Information Retrieval Systems: Emerging Technologies & Applications for Searching the Web Effectively provides relevant content in the areas of information retrieval systems, services, and research; covering topics such as social tagging, collaborative querying, social network analysis, subjective relevance judgments, and collaborative filtering. Answering the increasing demand for authoritative resources on Internet technologies, this Premier Reference Source will make an indispensable addition to any library collection.
Information Representation And Retrieval In The Digital Age
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Author : Heting Chu
language : en
Publisher: Information Today, Inc.
Release Date : 2003
Information Representation And Retrieval In The Digital Age written by Heting Chu and has been published by Information Today, Inc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Business & Economics categories.
Information representation and retrieval : an overview -- Information representation I : basic approaches -- Information representation II : other related topics -- Language in information representation and retrieval -- Retrieval techniques and query representation -- Retrieval approaches -- Information retrieval models -- Information retrieval systems -- Retrieval of information unique in content or format -- The user dimension in information representation and retrieval -- Evaluation of information representation and retrieval -- Artificial intelligence in information representation and 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.
Understanding Information Retrieval Systems
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Author : Marcia J. Bates
language : en
Publisher: CRC Press
Release Date : 2011-12-20
Understanding Information Retrieval Systems written by Marcia J. Bates and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-20 with Business & Economics categories.
In order to be effective for their users, information retrieval (IR) systems should be adapted to the specific needs of particular environments. The huge and growing array of types of information retrieval systems in use today is on display in Understanding Information Retrieval Systems: Management, Types, and Standards, which addresses over 20 types of IR systems. These various system types, in turn, present both technical and management challenges, which are also addressed in this volume. In order to be interoperable in a networked environment, IR systems must be able to use various types of technical standards, a number of which are described in this book—often by their original developers. The book covers the full context of operational IR systems, addressing not only the systems themselves but also human user search behaviors, user-centered design, and management and policy issues. In addition to theory and practice of IR system design, the book covers Web standards and protocols, the Semantic Web, XML information retrieval, Web social mining, search engine optimization, specialized museum and library online access, records compliance and risk management, information storage technology, geographic information systems, and data transmission protocols. Emphasis is given to information systems that operate on relatively unstructured data, such as text, images, and music. The book is organized into four parts: Part I supplies a broad-level introduction to information systems and information retrieval systems Part II examines key management issues and elaborates on the decision process around likely information system solutions Part III illustrates the range of information retrieval systems in use today discussing the technical, operational, and administrative issues for each type Part IV discusses the most important organizational and technical standards needed for successful information retrieval This volume brings together authoritative articles on the different types of information systems and how to manage real-world demands such as digital asset management, network management, digital content licensing, data quality, and information system failures. It explains how to design systems to address human characteristics and considers key policy and ethical issues such as piracy and preservation. Focusing on web–based systems, the chapters in this book provide an excellent starting point for developing and managing your own IR systems.
Advances In Information Retrieval
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Author : Bruce Croft
language : en
Publisher:
Release Date : 2014-01-15
Advances In Information Retrieval written by Bruce Croft and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.
Effective Online Searching
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Author : Christine L. Borgman
language : en
Publisher: CRC Press
Release Date : 2021-04-29
Effective Online Searching written by Christine L. Borgman and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-29 with Business & Economics categories.
This book focuses on searching and hands-on experience, which makes the text suitable for those who wish to learn searching for their own use as well. It is intended for those who will act as search intermediaries, accepting questions from clients and performing the searches.
Internet Searching And Indexing
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Author : Alan R Thomas
language : en
Publisher: CRC Press
Release Date : 2000-07-28
Internet Searching And Indexing written by Alan R Thomas and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-07-28 with Language Arts & Disciplines categories.
Prevent information overload with better indexing and retrieval strategies! In the fast-changing world of the Internet, the skills of the librarian are indispensable for managing the overwhelming amount of available data. Internet Searching and Indexing examines the tools and procedures available now and for the future that will help librarians, students, and patrons search the Internet more systematically, while helping information professionals design more efficient, effective search engines and Web pages. This comprehensive volume offers usable information for people at all levels of Internet savvy. Its clear explanations of the various ways search engines are structured will help new users take advantage of their attributes to design more effective retrieval strategies. It suggests practical ways for information professionals to use traditional library tools and concepts to make the Web more accessible. Moreover, it shows how the Web can be tapped as an immense resource to help librarians in the process of subject classification. Internet Searching and Indexing offers specific guidance on: how to classify various Web search tools and take advantage of their capabilities using signposts such as indexes, directories, and metadata to improve access to information on the Web the advantages of using facet analysis in Web page organizing, indexing, and searching the links between Internet subject trees and conventional bibliographic classification guidelines for interface design for developing Web-based OPACs applying Library of Congress subject headings to classifying Web subject access . . . and more With the vast amount of information that is added to the Web each day, finding data is becoming more time consuming and more complex. Internet Searching and Indexing will help you decrease the time you spend searching for the information you need and assist you in cataloging, classification, indexing, and creating quick and effective retrieval methods.
Statistical Language Models For Information Retrieval
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Author : ChengXiang Zhai
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2009
Statistical Language Models For Information Retrieval written by ChengXiang Zhai and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Computers categories.
As online information grows dramatically, search engines such as Google are playing a more and more important role in our lives. Critical to all search engines is the problem of designing an effective retrieval model that can rank documents accurately for a given query. This has been a central research problem in information retrieval for several decades. In the past ten years, a new generation of retrieval models, often referred to as statistical language models, has been successfully applied to solve many different information retrieval problems. Compared with the traditional models such as the vector space model, these new models have a more sound statistical foundation and can leverage statistical estimation to optimize retrieval parameters. They can also be more easily adapted to model non-traditional and complex retrieval problems. Empirically, they tend to achieve comparable or better performance than a traditional model with less effort on parameter tuning. This book systematically reviews the large body of literature on applying statistical language models to information retrieval with an emphasis on the underlying principles, empirically effective language models, and language models developed for non-traditional retrieval tasks. All the relevant literature has been synthesized to make it easy for a reader to digest the research progress achieved so far and see the frontier of research in this area. The book also offers practitioners an informative introduction to a set of practically useful language models that can effectively solve a variety of retrieval problems. No prior knowledge about information retrieval is required, but some basic knowledge about probability and statistics would be useful for fully digesting all the details. Table of Contents: Introduction / Overview of Information Retrieval Models / Simple Query Likelihood Retrieval Model / Complex Query Likelihood Model / Probabilistic Distance Retrieval Model / Language Models for Special Retrieval Tasks / Language Models for Latent Topic Analysis / Conclusions