Techniques Of Information Retrieval
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Author | : Christopher D. Manning |
Publisher | : Cambridge University Press |
Total Pages | : |
Release | : 2008-07-07 |
Genre | : Computers |
ISBN | : 1139472100 |
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.
Author | : Diane Kelly |
Publisher | : Now Publishers Inc |
Total Pages | : 246 |
Release | : 2009 |
Genre | : Database management |
ISBN | : 1601982240 |
Provides an overview and instruction on the evaluation of interactive information retrieval systems with users.
Author | : Fabio Crestani |
Publisher | : Springer Science & Business Media |
Total Pages | : 362 |
Release | : 1998-10-31 |
Genre | : Computers |
ISBN | : 9780792383024 |
A collection of papers proposing, developing, and implementing logical IR models. After an introductory chapter on non-classical logic as the appropriate formalism with which to build IR models, papers are divided into groups on three approaches: logical models, uncertainty models, and meta-models. Topics include preferential models of query by navigation, a logic for multimedia information retrieval, logical imaging and probabilistic information retrieval, and an axiomatic aboutness theory for information retrieval. Can be used as a text for a graduate course on information retrieval or database systems, and as a reference for researchers and practitioners in industry. Annotation copyrighted by Book News, Inc., Portland, OR
Author | : Stephen P. Harter |
Publisher | : Orlando ; Toronto : Academic Press |
Total Pages | : 280 |
Release | : 1986 |
Genre | : Computers |
ISBN | : |
Library science textbook, information retrieval methodology - data base structure, search strategies, evaluation techniques for selecting data bases. Bibliographys, glossary, illustrations.
Author | : Management Association, Information Resources |
Publisher | : IGI Global |
Total Pages | : 2373 |
Release | : 2018-01-05 |
Genre | : Computers |
ISBN | : 1522551921 |
With the increased use of technology in modern society, high volumes of multimedia information exists. It is important for businesses, organizations, and individuals to understand how to optimize this data and new methods are emerging for more efficient information management and retrieval. Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications is an innovative reference source for the latest academic material in the field of information and communication technologies and explores how complex information systems interact with and affect one another. Highlighting a range of topics such as knowledge discovery, semantic web, and information resources management, this multi-volume book is ideally designed for researchers, developers, managers, strategic planners, and advanced-level students.
Author | : Singh, Aarti |
Publisher | : IGI Global |
Total Pages | : 311 |
Release | : 2017-02-22 |
Genre | : Computers |
ISBN | : 1522524843 |
Modern society exists in a digital era in which high volumes of multimedia information exists. To optimize the management of this data, new methods are emerging for more efficient information retrieval. Web Semantics for Textual and Visual Information Retrieval is a pivotal reference source for the latest academic research on embedding and associating semantics with multimedia information to improve data retrieval techniques. Highlighting a range of pertinent topics such as automation, knowledge discovery, and social networking, this book is ideally designed for researchers, practitioners, students, and professionals interested in emerging trends in information retrieval.
Author | : Stefan Buttcher |
Publisher | : MIT Press |
Total Pages | : 633 |
Release | : 2016-02-12 |
Genre | : Computers |
ISBN | : 0262528878 |
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.
Author | : Bhaskar Mitra |
Publisher | : Foundations and Trends (R) in Information Retrieval |
Total Pages | : 142 |
Release | : 2018-12-23 |
Genre | : |
ISBN | : 9781680835328 |
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.
Author | : Gobinda G. Chowdhury |
Publisher | : Facet Publishing |
Total Pages | : 492 |
Release | : 2004 |
Genre | : Business & Economics |
ISBN | : |
Blends together traditional and electronic-age views of information retrieval, covering the whole spectrum of storage and retrieval. A fully revised and updated edition of successful text covering many new areas including multimedia IR, user interfaces and digital libraries.
Author | : Ayse Goker |
Publisher | : John Wiley & Sons |
Total Pages | : 320 |
Release | : 2009-12-15 |
Genre | : Technology & Engineering |
ISBN | : 9780470033630 |
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.