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Most books on information-seeking neglect the human side to focus solely on the technical aspects of retrieval systems. This book is the first to provide an information science perspective on information retrieval, with a focus on user behavior and needs. Beginning with the history of information retrieval, coverage goes on to consider behavioral models and interactive techniques as well as the design, implementation and evaluation of information retrieval interfaces. This comprehensive book will be the go-to for LIS students and professionals hoping to better appreciate and utilize information retrieval systems, theories, and practices.

1972. Brown cloth covered boards with green titles; light wear at corners and spine ends; jacket has mild wear, now in Brodart cover; 4to, 9 3/4" - 12" Tall; Previous owner's name on free front endpaper; Interior clean and unmarked; 231 pages. Additional shipping charges may be required for international or expedited orders.

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This book gives a theoretical base and a perspective for the analysis, design, and operation of information systems, particularly their information storage and retrieval (ISAR) component, whether mechanized or manual. Information systems deal with many types of entities: events, persons, documents, business transactions, museum objects, research projects, and technical parts, to name a few. Among the purposes the serve are to inform the public, to support managers, researchers, and engineers, and to provide a knowledge base for an artificial intelligence program. The principles discussed in this book apply to all these contexts. The book achieves this generality by drawing on ideas from two conceptually overlapping areas―data base management and the organization and use of knowledge in libraries―and by integrating these ideas into a coherent framework. The principles discussed apply to the design of new systems and, more importantly, to the analysis of existing systems in order to exploit their capabilities better, to circumvent their shortcomings, and to introduce modifications where feasible.

This new and updated second edition of a classic text provides a thought-provoking introduction to metadata for all library and information students and professionals. Metadata for Information Management and Retrieval has been fully revised by David Haynes to bring it up to date with new technology and standards. The new edition, containing new chapters on Metadata Standards and Encoding Schemes, assesses the current theory and practice of metadata and examines key developments in terms of both policy and technology. Coverage includes: an introduction to the concept of metadata a description of the main components of metadata systems and standards an overview of the scope of metadata and its applications a description of typical information retrieval issues in corporate and research environments a demonstration of ways in which metadata is used to improve retrieval a look at ways in which metadata is used to manage information consideration of the role of metadata in information governance. This book is essential reading for library and information students at undergraduate and postgraduate level and will also be useful reading for LIS professionals looking for an accessible introduction to metadata.

Search Engines: Information Retrieval in Practice is ideal for introductory information retrieval courses at the undergraduate and graduate level in computer science, information science and computer engineering departments. It is also a valuable tool for search engine and information retrieval professionals.   Written by a leader in the field of information retrieval, Search Engines: Information Retrieval in Practice , is designed to give undergraduate students the understanding and tools they need to evaluate, compare and modify search engines.  Coverage of the underlying IR and mathematical models reinforce key concepts. The book’s numerous programming exercises make extensive use of Galago, a Java-based open source search engine.

Keith Van Rijsbergen demonstrates how different models of information retrieval (IR) can be combined in the same framework used to formulate the general principles of quantum mechanics. All the standard results can be applied to address problems in IR, such as pseudo-relevance feedback, relevance feedback and ostensive retrieval. The relation with quantum computing is examined. Appendices with background material on physics and mathematics are also included.

This is the first book to offer a comprehensive view of information representation and retrieval (IRR). In this fully updated second edition, author Heting Chu reviews key concepts and major developmental stages of the field and then systematically examines information representation methods, IRR languages, retrieval techniques and models, and internet retrieval systems. Chu explains the retrieval of multilingual, multimedia, and hyperstructured information, explores user dimension and evaluation issues, and analyzes the role and potential of artificial intelligence (AI) in IRR.

Paperback. Pub Date: October 2009 Pages: 520 Language: English in Publisher: China Machine Press Search engine: the practice of information retrieval (English) describes the key issues in the information retrieval (1R). And how these issues affect the search engine's design and implementation. and strengthen the important concepts with mathematical models. For this important topic in Web search engine. book covers mainly the search technology widely used on the network. Search engines: information retrieval practice (English) applies to institutions of higher learning in computer science or computer engineering undergraduates. graduate students. professionals. search engines: information retrieval practice (English) may well be a the ideal introductory textbooks. Contents: 1 Search Engines and Information Retrieval1.1 What Is Information Retrieval1.2 The Big Issues1.3 Search...

This is a rigorous and complete textbook for a first course on information retrieval from the computer science perspective. It provides an up-to-date student oriented treatment of information retrieval including extensive coverage of new topics such as web retrieval, web crawling, open source search engines and user interfaces. From parsing to indexing, clustering to classification, retrieval to ranking, and user feedback to retrieval evaluation, all of the most important concepts are carefully introduced and exemplified. The contents and structure of the book have been carefully designed by the two main authors, with individual contributions coming from leading international authorities in the field, including Yoelle Maarek, Senior Director of Yahoo! Research Israel; Dulce Poncele´on IBM Research; and Malcolm Slaney, Yahoo Research USA. This completely reorganized, revised and enlarged second edition of Modern Information Retrieval contains many new chapters and double the number of pages and bibliographic references of the first edition, and a companion website www.mir2ed.org with teaching material. It will prove invaluable to students, professors, researchers, practitioners, and scholars of this fascinating field of information retrieval.

T The Turn analyzes the research of information seeking and retrieval (IS&R) and proposes a new direction of integrating research in these two areas: the fields should turn off their separate and narrow paths and construct a new avenue of research. An essential direction for this avenue is context as given in the subtitle Integration of Information Seeking and Retrieval in Context. Other essential themes in the book include: IS&R research models, frameworks and theories; search and works tasks and situations in context; interaction between humans and machines; information acquisition, relevance and information use; research design and methodology based on a structured set of explicit variables - all set into the holistic cognitive approach. The present monograph invites the reader into a construction project - there is much research to do for a contextual understanding of IS&R. The Turn represents a wide-ranging perspective of IS&R by providing a novel unique research framework, covering both individual and social aspects of information behavior, including the generation, searching, retrieval and use of information. Regarding traditional laboratory information retrieval research, the monograph proposes the extension of research toward actors, search and work tasks, IR interaction and utility of information. Regarding traditional information seeking research, it proposes the extension toward information access technology and work task contexts. The Turn is the first synthesis of research in the broad area of IS&R ranging from systems oriented laboratory IR research to social science oriented information seeking studies.

Information retrieval is the foundation for modern search engines. This text offers an introduction to the core topics underlying modern search technologies, including algorithms, data structures, indexing, retrieval, and evaluation. The emphasis is on implementation and experimentation; each chapter includes exercises and suggestions for student projects. Wumpus--a multiuser open-source information-retrieval system developed by one of the authors and available online--provides model implementations and a basis for student work. The modular structure of the book allows instructors to use it in a variety of graduate-level courses, including courses taught from a database systems perspective, traditional information retrieval courses with a focus on IR theory, and courses covering the basics of Web retrieval. After an introduction to the basics of information retrieval, the text covers three major topic areas--indexing, retrieval, and evaluation--in self-contained parts. The final par

Credibility in Information Retrieval presents a detailed analysis of existing credibility models from different information seeking research areas, with a focus on the Web and its pervasive social component. It shows that there is a very rich body of work pertaining to different aspects and interpretations of credibility, particularly for different types of textual content (for example, Web sites, blogs, tweets), but also for other modalities (such as videos, images, audio) and topics (such as health care). Credibility in Information Retrieval defines the limits of credibility with respect to digital information access systems, providing the reader with an organized and comprehensive reference guide to the state of the art and the problems at hand. As an additional help to the reader, an appendix lists the existing test collections that cater specifically to some aspect of credibility.

Most books on information-seeking neglect the human side to focus solely on the technical aspects of retrieval systems. This book is the first to provide an information science perspective on information retrieval, with a focus on user behavior and needs. Beginning with the history of information retrieval, coverage goes on to consider behavioral models and interactive techniques as well as the design, implementation and evaluation of information retrieval interfaces. This comprehensive book will be the go-to for LIS students and professionals hoping to better appreciate and utilize information retrieval systems, theories, and practices.

Search for information is no longer exclusively limited within the native language of the user, but is more and more extended to other languages. This gives rise to the problem of cross-language information retrieval (CLIR), whose goal is to find relevant information written in a different language to a query. In addition to the problems of monolingual information retrieval (IR), translation is the key problem in CLIR: one should translate either the query or the documents from a language to another. However, this translation problem is not identical to full-text machine translation (MT): the goal is not to produce a human-readable translation, but a translation suitable for finding relevant documents. Specific translation methods are thus required. The goal of this book is to provide a comprehensive description of the specifi c problems arising in CLIR, the solutions proposed in this area, as well as the remaining problems. The book starts with a general description of the monolingual IR and CLIR problems. Different classes of approaches to translation are then presented: approaches using an MT system, dictionary-based translation and approaches based on parallel and comparable corpora. In addition, the typical retrieval effectiveness using different approaches is compared. It will be shown that translation approaches specifically designed for CLIR can rival and outperform high-quality MT systems. Finally, the book offers a look into the future that draws a strong parallel between query expansion in monolingual IR and query translation in CLIR, suggesting that many approaches developed in monolingual IR can be adapted to CLIR. The book can be used as an introduction to CLIR. Advanced readers can also find more technical details and discussions about the remaining research challenges in the future. It is suitable to new researchers who intend to carry out research on CLIR.

New information retrieval (IR) technologies like Tag clouds give libraries and other information organizations groundbreaking opportunities for mass documentation, digitization, and information recording in many forms. Innovations in Information Retrieval provides an up-to-date look at key developments in the field. Chapters cover cultural documentation and terminological problems; innovations in IR in relation to organizational and cultural contexts; IR in relation to media types; museums and tagging; browsing the Tag Cloud; IR, fiction, and the Web; the future of IR as a facilitator of creativity; tools and semantics; and classification in the digital age. This thought-provoking book is essential reading for all LIS professionals and students.

This is a rigorous and complete textbook for a first course on information retrieval from the computer science perspective. It provides an up-to-date student oriented treatment of information retrieval including extensive coverage of new topics such as web retrieval, web crawling, open source search engines and user interfaces. From parsing to indexing, clustering to classification, retrieval to ranking, and user feedback to retrieval evaluation, all of the most important concepts are carefully introduced and exemplified. The contents and structure of the book have been carefully designed by the two main authors, with individual contributions coming from leading international authorities in the field, including Yoelle Maarek, Senior Director of Yahoo! Research Israel; Dulce Poncele´on IBM Research; and Malcolm Slaney, Yahoo Research USA. This completely reorganized, revised and enlarged second edition of Modern Information Retrieval contains many new chapters and double the number of pages and bibliographic references of the first edition, and a companion website www.mir2ed.org with teaching material. It will prove invaluable to students, professors, researchers, practitioners, and scholars of this fascinating field of information retrieval.

An introduction to information retrieval, the foundation for modern search engines, that emphasizes implementation and experimentation.Information retrieval is the foundation for modern search engines. This textbook offers an introduction to the core topics underlying modern search technologies, including algorithms, data structures, indexing, retrieval, and evaluation. The emphasis is on implementation and experimentation; each chapter includes exercises and suggestions for student projects. Wumpus―a multiuser open-source information retrieval system developed by one of the authors and available online―provides model implementations and a basis for student work. The modular structure of the book allows instructors to use it in a variety of graduate-level courses, including courses taught from a database systems perspective, traditional information retrieval courses with a focus on IR theory, and courses covering the basics of Web retrieval. In addition to its classroom use, Information Retrieval will be a valuable reference for professionals in computer science, computer engineering, and software engineering.

Information retrieval is the foundation for modern search engines. This text offers an introduction to the core topics underlying modern search technologies, including algorithms, data structures, indexing, retrieval, and evaluation. The emphasis is on implementation and experimentation; each chapter includes exercises and suggestions for student projects. Wumpus--a multiuser open-source information-retrieval system developed by one of the authors and available online--provides model implementations and a basis for student work. The modular structure of the book allows instructors to use it in a variety of graduate-level courses, including courses taught from a database systems perspective, traditional information retrieval courses with a focus on IR theory, and courses covering the basics of Web retrieval. After an introduction to the basics of information retrieval, the text covers three major topic areas--indexing, retrieval, and evaluation--in self-contained parts. The final par