Introduction to Information Retrieval

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Publisher : Cambridge University Press
ISBN 13 : 1139472100
Total Pages : pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Introduction to Information Retrieval by : Christopher D. Manning

Download or read book Introduction to Information Retrieval written by Christopher D. Manning and published by Cambridge University Press. This book was released on 2008-07-07 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Nature of Relevance in Information Retrieval

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Publisher :
ISBN 13 :
Total Pages : 228 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis The Nature of Relevance in Information Retrieval by : Taemin Kim Park

Download or read book The Nature of Relevance in Information Retrieval written by Taemin Kim Park and published by . This book was released on 1992 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Notion of Relevance in Information Science

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Publisher : Springer Nature
ISBN 13 : 3031023021
Total Pages : 109 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis The Notion of Relevance in Information Science by : Tefko Saracevic

Download or read book The Notion of Relevance in Information Science written by Tefko Saracevic and published by Springer Nature. This book was released on 2022-05-31 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: Everybody knows what relevance is. It is a "ya'know" notion, concept, idea–no need to explain whatsoever. Searching for relevant information using information technology (IT) became a ubiquitous activity in contemporary information society. Relevant information means information that pertains to the matter or problem at hand—it is directly connected with effective communication. The purpose of this book is to trace the evolution and with it the history of thinking and research on relevance in information science and related fields from the human point of view. The objective is to synthesize what we have learned about relevance in several decades of investigation about the notion in information science. This book deals with how people deal with relevance—it does not cover how systems deal with relevance; it does not deal with algorithms. Spurred by advances in information retrieval (IR) and information systems of various kinds in handling of relevance, a number of basic questions are raised: But what is relevance to start with? What are some of its properties and manifestations? How do people treat relevance? What affects relevance assessments? What are the effects of inconsistent human relevance judgments on tests of relative performance of different IR algorithms or approaches? These general questions are discussed in detail.

Learning to Rank for Information Retrieval

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Publisher : Springer Science & Business Media
ISBN 13 : 3642142672
Total Pages : 282 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Learning to Rank for Information Retrieval by : Tie-Yan Liu

Download or read book Learning to Rank for Information Retrieval written by Tie-Yan Liu and published by Springer Science & Business Media. This book was released on 2011-04-29 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Evaluating Information Retrieval and Access Tasks

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Publisher : Springer Nature
ISBN 13 : 9811555540
Total Pages : 225 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Evaluating Information Retrieval and Access Tasks by : Tetsuya Sakai

Download or read book Evaluating Information Retrieval and Access Tasks written by Tetsuya Sakai and published by Springer Nature. This book was released on 2021 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book summarizes the first two decades of the NII Testbeds and Community for Information access Research (NTCIR). NTCIR is a series of evaluation forums run by a global team of researchers and hosted by the National Institute of Informatics (NII), Japan. The book is unique in that it discusses not just what was done at NTCIR, but also how it was done and the impact it has achieved. For example, in some chapters the reader sees the early seeds of what eventually grew to be the search engines that provide access to content on the World Wide Web, todays smartphones that can tailor what they show to the needs of their owners, and the smart speakers that enrich our lives at home and on the move. We also get glimpses into how new search engines can be built for mathematical formulae, or for the digital record of a lived human life. Key to the success of the NTCIR endeavor was early recognition that information access research is an empirical discipline and that evaluation therefore lay at the core of the enterprise. Evaluation is thus at the heart of each chapter in this book. They show, for example, how the recognition that some documents are more important than others has shaped thinking about evaluation design. The thirty-three contributors to this volume speak for the many hundreds of researchers from dozens of countries around the world who together shaped NTCIR as organizers and participants. This book is suitable for researchers, practitioners, and students--anyone who wants to learn about past and present evaluation efforts in information retrieval, information access, and natural language processing, as well as those who want to participate in an evaluation task or even to design and organize one.

Information Retrieval

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Publisher : MIT Press
ISBN 13 : 0262528878
Total Pages : 633 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Information Retrieval by : Stefan Buttcher

Download or read book Information Retrieval written by Stefan Buttcher and published by MIT Press. This book was released on 2016-02-12 with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 and Management: Concepts, Methodologies, Tools, and Applications

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Publisher : IGI Global
ISBN 13 : 1522551921
Total Pages : 2373 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2018-01-05 with total page 2373 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

A Generative Theory of Relevance

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Publisher : Springer Science & Business Media
ISBN 13 : 3540893644
Total Pages : 211 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis A Generative Theory of Relevance by : Victor Lavrenko

Download or read book A Generative Theory of Relevance written by Victor Lavrenko and published by Springer Science & Business Media. This book was released on 2008-11-14 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: A modern information retrieval system must have the capability to find, organize and present very different manifestations of information – such as text, pictures, videos or database records – any of which may be of relevance to the user. However, the concept of relevance, while seemingly intuitive, is actually hard to define, and it's even harder to model in a formal way. Lavrenko does not attempt to bring forth a new definition of relevance, nor provide arguments as to why any particular definition might be theoretically superior or more complete. Instead, he takes a widely accepted, albeit somewhat conservative definition, makes several assumptions, and from them develops a new probabilistic model that explicitly captures that notion of relevance. With this book, he makes two major contributions to the field of information retrieval: first, a new way to look at topical relevance, complementing the two dominant models, i.e., the classical probabilistic model and the language modeling approach, and which explicitly combines documents, queries, and relevance in a single formalism; second, a new method for modeling exchangeable sequences of discrete random variables which does not make any structural assumptions about the data and which can also handle rare events. Thus his book is of major interest to researchers and graduate students in information retrieval who specialize in relevance modeling, ranking algorithms, and language modeling.

Information Retrieval Interaction

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Publisher :
ISBN 13 :
Total Pages : 264 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Information Retrieval Interaction by : Peter Ingwersen

Download or read book Information Retrieval Interaction written by Peter Ingwersen and published by . This book was released on 1992 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Methods for Evaluating Interactive Information Retrieval Systems with Users

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Publisher : Now Publishers Inc
ISBN 13 : 1601982240
Total Pages : 246 pages
Book Rating : 4.6/5 (19 download)

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Book Synopsis Methods for Evaluating Interactive Information Retrieval Systems with Users by : Diane Kelly

Download or read book Methods for Evaluating Interactive Information Retrieval Systems with Users written by Diane Kelly and published by Now Publishers Inc. This book was released on 2009 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an overview and instruction on the evaluation of interactive information retrieval systems with users.

Interactive Information Retrieval in Digital Environments

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Publisher : IGI Global Snippet
ISBN 13 : 9781599042404
Total Pages : 351 pages
Book Rating : 4.0/5 (424 download)

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Book Synopsis Interactive Information Retrieval in Digital Environments by : Iris Xie

Download or read book Interactive Information Retrieval in Digital Environments written by Iris Xie and published by IGI Global Snippet. This book was released on 2008 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.

Information Retrieval

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Publisher : John Wiley & Sons
ISBN 13 : 9780470033630
Total Pages : 320 pages
Book Rating : 4.0/5 (336 download)

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Book Synopsis Information Retrieval by : Ayse Goker

Download or read book Information Retrieval written by Ayse Goker and published by John Wiley & Sons. This book was released on 2009-12-15 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Information Retrieval Technology

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Publisher : Springer Nature
ISBN 13 : 3030428354
Total Pages : 207 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Information Retrieval Technology by : Fu Lee Wang

Download or read book Information Retrieval Technology written by Fu Lee Wang and published by Springer Nature. This book was released on 2020-02-26 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 15th Information Retrieval Technology Conference, AIRS 2019, held in Hong Kong, China, in November 2019.The 14 full papers presented together with 3 short papers were carefully reviewed and selected from 27 submissions. The scope of the conference covers applications, systems, technologies and theory aspects of information retrieval in text, audio, image, video and multimedia data.

Advances in Information Retrieval

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Publisher : Springer
ISBN 13 : 3540458867
Total Pages : 376 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Advances in Information Retrieval by : Fabio Crestani

Download or read book Advances in Information Retrieval written by Fabio Crestani and published by Springer. This book was released on 2003-07-31 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: The annual colloquium on information retrieval research provides an opportunity for both new and established researchers to present papers describing work in progress or ?nal results. This colloquium was established by the BCS IRSG(B- tish Computer Society Information Retrieval Specialist Group), and named the Annual Colloquium on Information Retrieval Research. Recently, the location of the colloquium has alternated between the United Kingdom and continental Europe. To re?ect the growing European orientation of the event, the colloquium was renamed “European Annual Colloquium on Information Retrieval Research” from 2001. Since the inception of the colloquium in 1979 the event has been hosted in the city of Glasgow on four separate occasions. However, this was the ?rst time that the organization of the colloquium had been jointly undertaken by three separate computer and information science departments; an indication of the collaborative nature and diversity of IR research within the universities of the West of Scotland. The organizers of ECIR 2002 saw a sharp increase in the number of go- quality submissions in answer to the call for papers over previous years and as such 52 submitted papers were each allocated 3 members of the program committee for double blind review of the manuscripts. A total of 23 papers were eventually selected for oral presentation at the colloquium in Glasgow which gave an acceptance rate of less than 45% and ensured a very high standard of the papers presented.

Information Retrieval: Uncertainty and Logics

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Publisher : Springer Science & Business Media
ISBN 13 : 9780792383024
Total Pages : 362 pages
Book Rating : 4.3/5 (83 download)

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Book Synopsis Information Retrieval: Uncertainty and Logics by : Fabio Crestani

Download or read book Information Retrieval: Uncertainty and Logics written by Fabio Crestani and published by Springer Science & Business Media. This book was released on 1998-10-31 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

An Introduction to Neural Information Retrieval

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Publisher : Foundations and Trends (R) in Information Retrieval
ISBN 13 : 9781680835328
Total Pages : 142 pages
Book Rating : 4.8/5 (353 download)

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Book Synopsis An Introduction to Neural Information Retrieval by : Bhaskar Mitra

Download or read book An Introduction to Neural Information Retrieval written by Bhaskar Mitra and published by Foundations and Trends (R) in Information Retrieval. This book was released on 2018-12-23 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Information Retrieval Experiment

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Publisher : Butterworth-Heinemann
ISBN 13 :
Total Pages : 372 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Information Retrieval Experiment by : Karen Sparck Jones

Download or read book Information Retrieval Experiment written by Karen Sparck Jones and published by Butterworth-Heinemann. This book was released on 1981 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: