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"This book includes the integration of existing frameworks on user-oriented information retrieval systems across multiple disciplines; the comprehensive review of empirical studies of interactive information retrieval systems for different types of users, tasks, and subtasks; and the discussion of how to evaluate interactive information retrieval systems. "--Provided by publisher.
"This book includes the integration of existing frameworks on user-oriented information retrieval systems across multiple disciplines; the comprehensive review of empirical studies of interactive information retrieval systems for different types of users, tasks, and subtasks; and the discussion of how to evaluate interactive information retrieval systems"--Provided by publisher.
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.
Information retrieval is a central and essential activity. It is indeed difficult to find a human activity that does not need to retrieve information in an environment which is often increasingly digital: moving and navigating, learning, having fun, communicating, informing, making a decision, etc. Most human activities are intimately linked to our ability to search quickly and effectively for relevant information, the stakes are sometimes extremely important: passing an exam, voting, finding a job, remaining autonomous, being socially connected, developing a critical spirit, or simply surviving. The author of this book presents a summary of work undertaken over several years relative to the behaviors and cognitive processes involved in information retrieval in digital environments. He presents several examples of theoretical models and studies to better understand the difficulties, behaviors and strategies of individuals searching for information in digital environments.
Provides an overview and instruction on the evaluation of interactive information retrieval systems with users.
We live in an "information age," but information is only useful when it is interpreted by people and applied in the context of their goals and activities. The volume of information to which people have access is growing at an incredible rate, vastly outstripping people's ability to assimilate and manage it. In order to design technologies that better support information work, it is necessary to better understand the details of that work. In this lecture, we review the situations (physical, social and temporal) in which people interact with information. We also discuss how people interact with information in terms of an "information journey," in which people, iteratively, do the following: recognise a need for information, find information, interpret and evaluate that information in the context of their goals, and use the interpretation to support their broader activities. People's information needs may be explicit and clearly articulated but, conversely, may be tacit, exploratory and evolving. Widely used tools supporting information access, such as searching on the Web and in digital libraries, support clearly defined information requirements well, but they provide limited support for other information needs. Most other stages of the information journey are poorly supported at present. Novel design solutions are unlikely to be purely digital, but to exploit the rich variety of information resources, digital, physical and social, that are available. Theories of information interaction and sensemaking can highlight new design possibilities that augment human capabilities. We review relevant theories and findings for understanding information behaviours, and we review methods for evaluating information working tools, to both assess existing tools and identify requirements for the future. Table of Contents: Introduction: Pervasive Information Interactions / Background: Information Interaction at the Crossroads of Research Traditions / The Situations: Physical, Social and Temporal / The Behaviors: Understanding the "Information Journey" / The Technologies: Supporting the Information Journey / Studying User Behaviors and Needs for Information Interaction / Looking to the Future / Further Reading
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
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.
The advent of computers in libraries made library automation a hot topic in the 1980s and 1990s, but this focus has dropped off over time, leaving much library automation research outdated. Library Automation and OPAC 2.0: Information Access and Services in the 2.0 Landscape brings library automation back to the forefront of cutting-edge research. In today's age of Web 2.0 and social networking, libraries are entering the new Library 2.0 era, and this reference will present current and future librarians with the necessary new library automation research they will need to keep their institutions up-to-date in today's constantly changing technological environment.
Chapter 1 places into perspective a total Information Storage and Retrieval System. This perspective introduces new challenges to the problems that need to be theoretically addressed and commercially implemented. Ten years ago commercial implementation of the algorithms being developed was not realistic, allowing theoreticians to limit their focus to very specific areas. Bounding a problem is still essential in deriving theoretical results. But the commercialization and insertion of this technology into systems like the Internet that are widely being used changes the way problems are bounded. From a theoretical perspective, efficient scalability of algorithms to systems with gigabytes and terabytes of data, operating with minimal user search statement information, and making maximum use of all functional aspects of an information system need to be considered. The dissemination systems using persistent indexes or mail files to modify ranking algorithms and combining the search of structured information fields and free text into a consolidated weighted output are examples of potential new areas of investigation. The best way for the theoretician or the commercial developer to understand the importance of problems to be solved is to place them in the context of a total vision of a complete system. Understanding the differences between Digital Libraries and Information Retrieval Systems will add an additional dimension to the potential future development of systems. The collaborative aspects of digital libraries can be viewed as a new source of information that dynamically could interact with information retrieval techniques.