Introduction to Information Retrieval

Introduction to Information Retrieval
Author: Christopher D. Manning
Publisher: Cambridge University Press
Total Pages:
Release: 2008-07-07
Genre: Computers
ISBN: 1139472100

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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.

GIS Online

GIS Online
Author: Brandon Plewe
Publisher:
Total Pages: 340
Release: 1997
Genre: Computers
ISBN:

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GIS Online is a comprehensive guide for businesses, government agencies, nonprofit organizations, educational institutions, and individuals who want to build a Web site based on GIS and mapping technology, or who simply want to include maps on their sites. The book describes the concepts of distributed geographic information (DGI), the integration of GIS and maps with the Internet, and data sharing, and provides guidance through the planning, development, and maintenance of an effective site.

Online Information Retrieval

Online Information Retrieval
Author: Stephen P. Harter
Publisher: Orlando : Academic Press
Total Pages: 278
Release: 1986
Genre: Computers
ISBN: 9780123284563

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Library science textbook, information retrieval methodology - data base structure, search strategies, evaluation techniques for selecting data bases. Bibliographys, glossary, illustrations.

Web Information Retrieval

Web Information Retrieval
Author: Stefano Ceri
Publisher: Springer Science & Business Media
Total Pages: 287
Release: 2013-08-30
Genre: Computers
ISBN: 3642393144

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With the proliferation of huge amounts of (heterogeneous) data on the Web, the importance of information retrieval (IR) has grown considerably over the last few years. Big players in the computer industry, such as Google, Microsoft and Yahoo!, are the primary contributors of technology for fast access to Web-based information; and searching capabilities are now integrated into most information systems, ranging from business management software and customer relationship systems to social networks and mobile phone applications. Ceri and his co-authors aim at taking their readers from the foundations of modern information retrieval to the most advanced challenges of Web IR. To this end, their book is divided into three parts. The first part addresses the principles of IR and provides a systematic and compact description of basic information retrieval techniques (including binary, vector space and probabilistic models as well as natural language search processing) before focusing on its application to the Web. Part two addresses the foundational aspects of Web IR by discussing the general architecture of search engines (with a focus on the crawling and indexing processes), describing link analysis methods (specifically Page Rank and HITS), addressing recommendation and diversification, and finally presenting advertising in search (the main source of revenues for search engines). The third and final part describes advanced aspects of Web search, each chapter providing a self-contained, up-to-date survey on current Web research directions. Topics in this part include meta-search and multi-domain search, semantic search, search in the context of multimedia data, and crowd search. The book is ideally suited to courses on information retrieval, as it covers all Web-independent foundational aspects. Its presentation is self-contained and does not require prior background knowledge. It can also be used in the context of classic courses on data management, allowing the instructor to cover both structured and unstructured data in various formats. Its classroom use is facilitated by a set of slides, which can be downloaded from www.search-computing.org.

Information Retrieval

Information Retrieval
Author: Ayse Goker
Publisher: John Wiley & Sons
Total Pages: 320
Release: 2009-12-15
Genre: Technology & Engineering
ISBN: 9780470033630

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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

Social Information Retrieval Systems: Emerging Technologies and Applications for Searching the Web Effectively
Author: Goh, Dion
Publisher: IGI Global
Total Pages: 396
Release: 2007-10-31
Genre: Business & Economics
ISBN: 1599045451

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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 Retrieval: Uncertainty and Logics

Information Retrieval: Uncertainty and Logics
Author: Fabio Crestani
Publisher: Springer Science & Business Media
Total Pages: 362
Release: 1998-10-31
Genre: Computers
ISBN: 9780792383024

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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

Modern Information Retrieval

Modern Information Retrieval
Author: Yates
Publisher: Pearson Education India
Total Pages: 540
Release: 1999-09
Genre:
ISBN: 9788131709771

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Online Information Retrieval

Online Information Retrieval
Author: Stephen P. Harter
Publisher: Orlando ; Toronto : Academic Press
Total Pages: 276
Release: 1986
Genre: Computers
ISBN:

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Library science textbook, information retrieval methodology - data base structure, search strategies, evaluation techniques for selecting data bases. Bibliographys, glossary, illustrations.

Understanding Information Retrieval Systems

Understanding Information Retrieval Systems
Author: Marcia J. Bates
Publisher: CRC Press
Total Pages: 752
Release: 2011-12-20
Genre: Business & Economics
ISBN: 1439891990

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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