Understanding Information Retrieval Systems
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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 typ
Ill Understanding Information Retrieval Systems
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Author : 14 APR 2025:.
language : en
Publisher:
Release Date :
Ill Understanding Information Retrieval Systems written by 14 APR 2025:. and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Information Retrieval Systems
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Author : Gerald J. Kowalski
language : en
Publisher: Springer
Release Date : 2007-08-23
Information Retrieval Systems written by Gerald J. Kowalski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-23 with Computers categories.
The growth of the Internet and the availability of enormous volumes of data in digital form have necessitated intense interest in techniques to assist the user in locating data of interest. The Internet has over 350 million pages of data and is expected to reach over one billion pages by the year 2000. Buried on the Internet are both valuable nuggets to answer questions as well as a large quantity of information the average person does not care about. The Digital Library effort is also progressing, with the goal of migrating from the traditional book environment to a digital library environment. The challenge to both authors of new publications that will reside on this information domain and developers of systems to locate information is to provide the information and capabilities to sort out the non-relevant items from those desired by the consumer. In effect, as we proceed down this path, it will be the computer that determines what we see versus the human being. The days of going to a library and browsing the new book shelf are being replaced by electronic searching the Internet or the library catalogs. Whatever the search engines return will constrain our knowledge of what information is available. An understanding of Information Retrieval Systems puts this new environment into perspective for both the creator of documents and the consumer trying to locate information.
Information Retrieval
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Author : Ayse Goker
language : en
Publisher: Wiley
Release Date : 2009-12-02
Information Retrieval written by Ayse Goker and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-02 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.
Language And Representation In Information Retrieval
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Author : David C. Blair
language : en
Publisher: Elsevier Science & Technology
Release Date : 1990
Language And Representation In Information Retrieval written by David C. Blair and has been published by Elsevier Science & Technology this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Computers categories.
Information or Document Retrieval is the subject of this book. It is not an introductory book, although it is self-contained in the sense that it is not necessary to have a background in the theory or practice of Information Retrieval in order to understand its arguments. The book presents, as clearly as possible, one particular perspective on Information Retrieval, and attempts to say that certain aspects of the theory or practice of the management of documents are more important than others. The majority of Information Retrieval research has been aimed at the more experimentally tractable small-scale systems, and although much of that work has added greatly to our understanding of Information Retrieval it is becoming increasingly apparent that retrieval systems with large data bases of documents are a fundamentally different genre of systems than small-scale systems. If this is so, which is the thesis of this book, then we must now study large information retrieval systems with the same rigor and intensity that we once studied small-scale systems. Hegel observed that the quantitative growth of any system caused qualitative changes to take place in its structure and processes.
Multilingual Information Retrieval
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Author : Carol Peters
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-01-05
Multilingual Information Retrieval written by Carol Peters 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 2012-01-05 with Computers categories.
We are living in a multilingual world and the diversity in languages which are used to interact with information access systems has generated a wide variety of challenges to be addressed by computer and information scientists. The growing amount of non-English information accessible globally and the increased worldwide exposure of enterprises also necessitates the adaptation of Information Retrieval (IR) methods to new, multilingual settings. Peters, Braschler and Clough present a comprehensive description of the technologies involved in designing and developing systems for Multilingual Information Retrieval (MLIR). They provide readers with broad coverage of the various issues involved in creating systems to make accessible digitally stored materials regardless of the language(s) they are written in. Details on Cross-Language Information Retrieval (CLIR) are also covered that help readers to understand how to develop retrieval systems that cross language boundaries. Their work is divided into six chapters and accompanies the reader step-by-step through the various stages involved in building, using and evaluating MLIR systems. The book concludes with some examples of recent applications that utilise MLIR technologies. Some of the techniques described have recently started to appear in commercial search systems, while others have the potential to be part of future incarnations. The book is intended for graduate students, scholars, and practitioners with a basic understanding of classical text retrieval methods. It offers guidelines and information on all aspects that need to be taken into consideration when building MLIR systems, while avoiding too many ‘hands-on details’ that could rapidly become obsolete. Thus it bridges the gap between the material covered by most of the classical IR textbooks and the novel requirements related to the acquisition and dissemination of information in whatever language it is stored.
Information Retrieval Systems
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Author : Gerald J. Kowalski
language : en
Publisher:
Release Date : 2014-01-15
Information Retrieval Systems written by Gerald J. Kowalski 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.
Designing And Understanding Information Retrieval Systems Using Collaborative Filtering In An Academic Library Environment
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Author : Seikyung Jung
language : en
Publisher:
Release Date : 2007
Designing And Understanding Information Retrieval Systems Using Collaborative Filtering In An Academic Library Environment written by Seikyung Jung and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Electronic information resource searching categories.
Accessing information on the Web has become ingrained into our daily lives, and we seek information from many different sources, including conference and journal publications, personal web pages, and others. Increasingly, web-based information retrieval systems such as web-based search engines, library on-line catalog systems, and subscription-based federated search systems are made available to provide an interface to collections of information from these sources. Because the quantity of new information available every day exceeds how much information individuals can handle effectively, we spend significant effort in locating information, often unsuccessfully. This dissertation consists of three scholarly articles presenting a broad set of results with the goal of helping people find interesting information in large web document collections. The results cover three specific challenges: designing and utilizing Web document recommendation systems based on human judgment, improving recommendations based on users' Eun Ho web usage as a source of implicit relevance feedback data, and understanding and designing metasearch systems for academic materials. To address these challenges, a combination of offline analysis and user studies is used. We recommend documents by determining the similarity between users' information needs and the previously viewed documents by other users. We conducted experiments and observational studies to evaluate the system that we developed, and in both cases we found that recommendations from prior users with similar queries could increase the efficiency and effectiveness of document search. To improve recommendation effectiveness, we studied users' click data from complete search sessions, and found that applying all of the click data in a search session as relevance feedback has the potential to increase both precision and recall of search results. In particular, our data provides evidence that the last visited document of each search session is a highly reliable source of implicit relevance feedback data. In understanding and designing systems for academic materials, we designed a metasearch system for retrieving materials from OSU library's subscribed databases and catalogs. We conducted a think-aloud usability experiment and found that modeling the familiarity and ease of use of commercial web search engines is an important factor to attract undergraduates. However, when undergraduates faced the interface that felt familiar, they expected similar performance to a web search engine, such as its quality of ranked results, its speed and other qualities.
Information Retrieval Research
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Author : Robert Norman Oddy
language : en
Publisher: Butterworth-Heinemann
Release Date : 1981
Information Retrieval Research written by Robert Norman Oddy and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Computers categories.
Information technology and the science of information; A term weighting model based on utility theory; A comparison of two weighting schemes for Boolean retrieval; Probabilistic models of indexing and searching; A performance evaluations of similarity measures document term weighting schemes and representations in a Boolean environment; Information retrieval theory and design based on a model of the user's concept relations; Conceptual information retrieval; Representation of knowledge in a legal information retrieval system; Retrieving time information from natural-language texts; Methods for the administration of textual data in database systems.
The Auerbach Annual
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Author :
language : en
Publisher:
Release Date : 1975
The Auerbach Annual written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1975 with Computers categories.