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Search Engines

Search Engines Author Bruce Croft
ISBN-10 9780133001594
Release 2011-11-21
Pages 552
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This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. 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.



Search Engines

Search Engines Author W. Bruce Croft
ISBN-10 0136072240
Release 2010
Pages 520
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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.



Search Engines

Search Engines Author W. Bruce Croft
ISBN-10 0131364898
Release 2009
Pages 524
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Search Engines: Information Retrieval in Practice introduces the key issues in information retrieval (IR) and shows how they affect the design and implementation of search engines, with mathematical models reinforcing important concepts. This book is ideal for an introductory course on IR at either the undergraduate or master's level or for professionals seeking an authoritative introduction. An extensive set of resources is available to instructors."--BOOK JACKET.



Introduction to Information Retrieval

Introduction to Information Retrieval Author Christopher D. Manning
ISBN-10 9781139472104
Release 2008-07-07
Pages
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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.



Information Retrieval

Information Retrieval Author Stefan Büttcher
ISBN-10 9780262528870
Release 2016-02-12
Pages 632
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An introduction to information retrieval, the foundation for modern search engines, that emphasizes implementation and experimentation.



Next Generation Search Engines

Next Generation Search Engines Author Christophe Jouis
ISBN-10 1466603305
Release 2012
Pages 540
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"This book is intended for scientists and decision-makers who wish to gain working knowledge about search engines in order to evaluate available solutions and to dialogue with software and data providers"--Provided by publisher.



Modern Information Retrieval

Modern Information Retrieval Author Ricardo Baeza-Yates
ISBN-10 0321416910
Release 2011
Pages 913
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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.



Human Information Retrieval

Human Information Retrieval Author Warner
ISBN-10 9780262258500
Release 2009-09-25
Pages 200
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Information retrieval in the age of Internet search engines has become part of ordinary discourse and everyday practice: "Google" is a verb in common usage. Thus far, more attention has been given to practical understanding of information retrieval than to a full theoretical account. In Human Information Retrieval, Julian Warner offers a comprehensive overview of information retrieval, synthesizing theories from different disciplines (information and computer science, librarianship and indexing, and information society discourse) and incorporating such disparate systems as WorldCat and Google into a single, robust theoretical framework. There is a need for such a theoretical treatment, he argues, one that reveals the structure and underlying patterns of this complex field while remaining congruent with everyday practice. Warner presents a labor theoretic approach to information retrieval, building on his previously formulated distinction between semantic and syntactic mental labor, arguing that the description and search labor of information retrieval can be understood as both semantic and syntactic in character. Warner's information science approach is rooted in the humanities and the social sciences but informed by an understanding of information technology and information theory. The chapters offer a progressive exposition of the topic, with illustrative examples to explain the concepts presented. Neither narrowly practical nor largely speculative, Human Information Retrieval meets the contemporary need for a broader treatment of information and information systems.



Learning to Rank for Information Retrieval

Learning to Rank for Information Retrieval Author Tie-Yan Liu
ISBN-10 3642142672
Release 2011-04-29
Pages 285
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Due to the fast growth of the Web and the difficulties in finding desired information, efficient and effective information retrieval systems have become more important than ever, and the search engine has become an essential tool for many people. The ranker, a central component in every search engine, is responsible for the matching between processed queries and indexed documents. Because of its central role, great attention has been paid to the research and development of ranking technologies. In addition, ranking is also pivotal for many other information retrieval applications, such as collaborative filtering, definition ranking, question answering, multimedia retrieval, text summarization, and online advertisement. Leveraging machine learning technologies in the ranking process has led to innovative and more effective ranking models, and eventually to a completely new research area called “learning to rank”. Liu first gives a comprehensive review of the major approaches to learning to rank. For each approach he presents the basic framework, with example algorithms, and he discusses its advantages and disadvantages. He continues with some recent advances in learning to rank that cannot be simply categorized into the three major approaches – these include relational ranking, query-dependent ranking, transfer ranking, and semisupervised ranking. His presentation is completed by several examples that apply these technologies to solve real information retrieval problems, and by theoretical discussions on guarantees for ranking performance. This book is written for researchers and graduate students in both information retrieval and machine learning. They will find here the only comprehensive description of the state of the art in a field that has driven the recent advances in search engine development.



Financial Reporting under IFRS

Financial Reporting under IFRS Author Wolfgang Dick
ISBN-10 9780470971628
Release 2011-02-25
Pages 360
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The International Financial Reporting Standards are quite different from other sets of accounting standards, and are fundamentally different from US-GAAP, in that they are based on principles, and not on detailed rules. Financial Reporting under IFRS:A topic-based approach offers a global perspective on IFRS by presenting the prescribed rationale and principles and illustrating them through numerous examples from large international companies. It aims to develop the fundamental skills necessary to read and use the information contained in all types of financial statements, through examples, activities, questions and answers. The book is broadly divided into three sections. Section one examines the structure of the Balance Sheet and the Income Statement, their links and the accounting mechanisms used to prepare them. Section two deals with the identification, evaluation and reporting of Balance Sheet items. Section three covers the use of financial statements to analyze a firm’s performance and its risks. Throughout the book special topics are covered, including Derivatives and Hedge accounting (IAS 39), Business Combination (IFRS 3) and Operating Segments (IFRS 8). Financial Reporting under IFRS is ideally suited to the needs of students of accounting and financial reporting, but all users of financial statements, from creditors and investors to suppliers, customers, employees and governments will benefit from its concise, topic-based approach.



Understanding Information Retrieval Systems

Understanding Information Retrieval Systems Author Marcia J. Bates
ISBN-10 9781466551350
Release 2012-02-28
Pages 752
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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 types of IR systems. These various system types, in turn, present both technical and management challenges, which are also addressed in this volume. In order to be interoperable in a networked environment, IR systems must be able to use various types of technical standards, a number of which are described in this book—often by their original developers. The book covers the full context of operational IR systems, addressing not only the systems themselves but also human user search behaviors, user-centered design, and management and policy issues. In addition to theory and practice of IR system design, the book covers Web standards and protocols, the Semantic Web, XML information retrieval, Web social mining, search engine optimization, specialized museum and library online access, records compliance and risk management, information storage technology, geographic information systems, and data transmission protocols. Emphasis is given to information systems that operate on relatively unstructured data, such as text, images, and music. The book is organized into four parts: Part I supplies a broad-level introduction to information systems and information retrieval systems Part II examines key management issues and elaborates on the decision process around likely information system solutions Part III illustrates the range of information retrieval systems in use today discussing the technical, operational, and administrative issues for each type Part IV discusses the most important organizational and technical standards needed for successful information retrieval This volume brings together authoritative articles on the different types of information systems and how to manage real-world demands such as digital asset management, network management, digital content licensing, data quality, and information system failures. It explains how to design systems to address human characteristics and considers key policy and ethical issues such as piracy and preservation. Focusing on web–based systems, the chapters in this book provide an excellent starting point for developing and managing your own IR systems.



Information Retrieval

Information Retrieval Author David A. Grossman
ISBN-10 1402030045
Release 2004-10-21
Pages 332
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Interested in how an efficient search engine works? Want to know what algorithms are used to rank resulting documents in response to user requests? The authors answer these and other key information retrieval design and implementation questions. This book is not yet another high level text. Instead, algorithms are thoroughly described, making this book ideally suited for both computer science students and practitioners who work on search-related applications. As stated in the foreword, this book provides a current, broad, and detailed overview of the field and is the only one that does so. Examples are used throughout to illustrate the algorithms. The authors explain how a query is ranked against a document collection using either a single or a combination of retrieval strategies, and how an assortment of utilities are integrated into the query processing scheme to improve these rankings. Methods for building and compressing text indexes, querying and retrieving documents in multiple languages, and using parallel or distributed processing to expedite the search are likewise described. This edition is a major expansion of the one published in 1998. Besides updating the entire book with current techniques, it includes new sections on language models, cross-language information retrieval, peer-to-peer processing, XML search, mediators, and duplicate document detection.



Web Search Engine Research

Web Search Engine Research Author Dirk Lewandowski
ISBN-10 9781780526379
Release 2012-04-19
Pages 322
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Provides an understanding of Web search engines from the unique perspective of Library and Information Science. This book explores a range of topics including retrieval effectiveness, user satisfaction, the evaluation of search interfaces, the impact of search on society, and the influence of search engine optimization (SEO) on results quality.



Innovations in Information Retrieval

Innovations in Information Retrieval Author Allen Foster
ISBN-10 9781856046978
Release 2011
Pages 156
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The advent of new information retrieval (IR) technologies and approaches to storage and retrieval provide communities with previously unheard of opportunities for mass documentation, digitization, and the recording of information in all its forms. This book introduces and contextualizes these developments and looks at supporting research in IR, the debates, theories and issues. Contributed by an international team of experts, each authored chapter provides a snapshot of changes in the field, as well as the importance of developing innovation, creativity and thinking in IR practice and research. Key discussion areas include: browsing in new information environments classification revisited: a web of knowledge approaches to fiction retrieval research music information retrieval research folksonomies, social tagging and information retrieval digital information interaction as semantic navigation assessing web search machines: a webometric approach. Readership: LIS professionals , researchers and students, and for all those interested in the future of IR.



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
ISBN-10 1599045451
Release 2007-10-31
Pages 396
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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.



Interactive Information Retrieval in Digital Environments

Interactive Information Retrieval in Digital Environments Author Xie, Iris
ISBN-10 1599042428
Release 2008-04-30
Pages 376
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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.



Website Visibility

Website Visibility Author Melius Weideman
ISBN-10 9781780631790
Release 2009-09-22
Pages 244
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The quest to achieve high website rankings in search engine results is a prominent subject for both academics and website owners/coders. Website Visibility marries academic research results to the world of the information practitioner and contains a focused look at the elements which contribute to website visibility, providing support for the application of each element with relevant research. A series of real-world case studies with tested examples of research on website visibility elements and their effect on rankings are reviewed. Written by a well-respected academic and practitioner in the field of search engines Provides practical and real-world guidance for real-world situations Based on actual research in the field, which is often used to confirm or refute beliefs in the industry