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.

Search Engines

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Publisher : Pearson Higher Ed
ISBN 13 : 0133001598
Total Pages : 547 pages
Book Rating : 4.1/5 (33 download)

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Book Synopsis Search Engines by : Bruce Croft

Download or read book Search Engines written by Bruce Croft and published by Pearson Higher Ed. This book was released on 2011-11-21 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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.

Critical Approaches to Information Retrieval Research

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Publisher : IGI Global
ISBN 13 : 1799810232
Total Pages : 374 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Critical Approaches to Information Retrieval Research by : Sarfraz, Muhammad

Download or read book Critical Approaches to Information Retrieval Research written by Sarfraz, Muhammad and published by IGI Global. This book was released on 2019-08-30 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information retrieval (IR) is considered to be the science of searching for information from a variety of information sources related to texts, images, sounds, or multimedia. With the rise of the internet and digital databases, updated information retrieval methodologies are essential to ensure the continued facilitation and enhancement of information exchange. Critical Approaches to Information Retrieval Research is a critical scholarly publication that provides multidisciplinary examinations of theoretical innovations and methods in information retrieval technologies including search and storage applications for data, text, image, sound, document, and video retrieval. Featuring a wide range of topics including data mining, machine learning, and ontology, this book is ideal for librarians, software engineers, data scientists, professionals, researchers, information engineers, scientists, practitioners, and academicians working in the fields of computer science, information technology, information and communication sciences, education, health, library, and more.

Modern Information Retrieval

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Publisher : Pearson Education India
ISBN 13 : 9788131709771
Total Pages : 540 pages
Book Rating : 4.7/5 (97 download)

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Book Synopsis Modern Information Retrieval by : Yates

Download or read book Modern Information Retrieval written by Yates and published by Pearson Education India. This book was released on 1999-09 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Information Retrieval for Music and Motion

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Publisher : Springer Science & Business Media
ISBN 13 : 3540740481
Total Pages : 319 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Information Retrieval for Music and Motion by : Meinard Müller

Download or read book Information Retrieval for Music and Motion written by Meinard Müller and published by Springer Science & Business Media. This book was released on 2007-09-09 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: Content-based multimedia retrieval is a challenging research field with many unsolved problems. This monograph details concepts and algorithms for robust and efficient information retrieval of two different types of multimedia data: waveform-based music data and human motion data. It first examines several approaches in music information retrieval, in particular general strategies as well as efficient algorithms. The book then introduces a general and unified framework for motion analysis, retrieval, and classification, highlighting the design of suitable features, the notion of similarity used to compare data streams, and data organization.

Computer Based Information Retrieval Systems

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Publisher : American Library Association
ISBN 13 :
Total Pages : 144 pages
Book Rating : 4.:/5 (42 download)

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Book Synopsis Computer Based Information Retrieval Systems by : Liverpool College of Commerce. School of Librarianship

Download or read book Computer Based Information Retrieval Systems written by Liverpool College of Commerce. School of Librarianship and published by American Library Association. This book was released on 1968 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Papers first delivered in April 1968 at the Liverpool School of Librarianship.

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

Concept-Based Video Retrieval

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Publisher : Now Publishers Inc
ISBN 13 : 1601982348
Total Pages : 123 pages
Book Rating : 4.6/5 (19 download)

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Book Synopsis Concept-Based Video Retrieval by : Cees G. M. Snoek

Download or read book Concept-Based Video Retrieval written by Cees G. M. Snoek and published by Now Publishers Inc. This book was released on 2009 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper, we review 300 references on video retrieval, indicating when text-only solutions are unsatisfactory and showing the promising alternatives which are in majority concept-based. Therefore, central to our discussion is the notion of a semantic concept: an objective linguistic description of an observable entity. Specifically, we present our view on how its automated detection, selection under uncertainty, and interactive usage might solve the major scientific problem for video retrieval: the semantic gap. To bridge the gap, we lay down the anatomy of a concept-based video search engine. We present a component-wise decomposition of such an interdisciplinary multimedia system, covering influences from information retrieval, computer vision, machine learning, and human-computer interaction. For each of the components we review state-of-the-art solutions in the literature, each having different characteristics and merits. Because of these differences, we cannot understand the progress in video retrieval without serious evaluation efforts such as carried out in the NIST TRECVID benchmark. We discuss its data, tasks, results, and the many derived community initiatives in creating annotations and baselines for repeatable experiments. We conclude with our perspective on future challenges and opportunities.

Advances in Information Retrieval

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Publisher : Springer Nature
ISBN 13 : 3030721132
Total Pages : 808 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Advances in Information Retrieval by : Djoerd Hiemstra

Download or read book Advances in Information Retrieval written by Djoerd Hiemstra and published by Springer Nature. This book was released on 2021-03-26 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 12656 and 12657 constitutes the refereed proceedings of the 43rd European Conference on IR Research, ECIR 2021, held virtually in March/April 2021, due to the COVID-19 pandemic. The 50 full papers presented together with 11 reproducibility papers, 39 short papers, 15 demonstration papers, 12 CLEF lab descriptions papers, 5 doctoral consortium papers, 5 workshop abstracts, and 8 tutorials abstracts were carefully reviewed and selected from 436 submissions. The accepted contributions cover the state of the art in IR: deep learning-based information retrieval techniques, use of entities and knowledge graphs, recommender systems, retrieval methods, information extraction, question answering, topic and prediction models, multimedia retrieval, and much more.

Language Modeling for Information Retrieval

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Publisher : Springer Science & Business Media
ISBN 13 : 9401701717
Total Pages : 253 pages
Book Rating : 4.4/5 (17 download)

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Book Synopsis Language Modeling for Information Retrieval by : W. Bruce Croft

Download or read book Language Modeling for Information Retrieval written by W. Bruce Croft and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: A statisticallanguage model, or more simply a language model, is a prob abilistic mechanism for generating text. Such adefinition is general enough to include an endless variety of schemes. However, a distinction should be made between generative models, which can in principle be used to synthesize artificial text, and discriminative techniques to classify text into predefined cat egories. The first statisticallanguage modeler was Claude Shannon. In exploring the application of his newly founded theory of information to human language, Shannon considered language as a statistical source, and measured how weH simple n-gram models predicted or, equivalently, compressed natural text. To do this, he estimated the entropy of English through experiments with human subjects, and also estimated the cross-entropy of the n-gram models on natural 1 text. The ability of language models to be quantitatively evaluated in tbis way is one of their important virtues. Of course, estimating the true entropy of language is an elusive goal, aiming at many moving targets, since language is so varied and evolves so quickly. Yet fifty years after Shannon's study, language models remain, by all measures, far from the Shannon entropy liInit in terms of their predictive power. However, tbis has not kept them from being useful for a variety of text processing tasks, and moreover can be viewed as encouragement that there is still great room for improvement in statisticallanguage modeling.

Information Representation and Retrieval in the Digital Age

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Publisher : Information Today, Inc.
ISBN 13 : 9781573871723
Total Pages : 272 pages
Book Rating : 4.8/5 (717 download)

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Book Synopsis Information Representation and Retrieval in the Digital Age by : Heting Chu

Download or read book Information Representation and Retrieval in the Digital Age written by Heting Chu and published by Information Today, Inc.. This book was released on 2003 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information representation and retrieval : an overview -- Information representation I : basic approaches -- Information representation II : other related topics -- Language in information representation and retrieval -- Retrieval techniques and query representation -- Retrieval approaches -- Information retrieval models -- Information retrieval systems -- Retrieval of information unique in content or format -- The user dimension in information representation and retrieval -- Evaluation of information representation and retrieval -- Artificial intelligence in information representation and retrieval.

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.

Advanced Methodologies and Technologies in Library Science, Information Management, and Scholarly Inquiry

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Publisher : IGI Global
ISBN 13 : 1522576606
Total Pages : 702 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Advanced Methodologies and Technologies in Library Science, Information Management, and Scholarly Inquiry by : Khosrow-Pour, D.B.A., Mehdi

Download or read book Advanced Methodologies and Technologies in Library Science, Information Management, and Scholarly Inquiry written by Khosrow-Pour, D.B.A., Mehdi and published by IGI Global. This book was released on 2018-11-02 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the academic and scholarly landscape are continuously enhanced by the advent of new technology, librarians must be aware and informed to develop and implement best practices. Effective administration of libraries is a crucial part of delivering library services to patrons and ensuring that information resources are disseminated efficiently. Advanced Methodologies and Technologies in Library Science, Information Management, and Scholarly Inquiry provides emerging information on modern knowledge management and effective means of sharing research through libraries. While highlighting the importance of digital literacy and information resources, readers will also learn new methods in information retrieval and research methods in quality scholarly inquiry. This book is an important resource for librarians, administrators, information science professionals, information technology specialists, students, and researchers seeking current information on the importance of effective library science technology.

Computational Intelligence for Information Retrieval

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Publisher : CRC Press
ISBN 13 : 1000484726
Total Pages : 303 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Computational Intelligence for Information Retrieval by : Dharmender Saini

Download or read book Computational Intelligence for Information Retrieval written by Dharmender Saini and published by CRC Press. This book was released on 2021-12-14 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a thorough understanding of the integration of computational intelligence with information retrieval including content-based image retrieval using intelligent techniques, hybrid computational intelligence for pattern recognition, intelligent innovative systems, and protecting and analysing big data on cloud platforms. The book aims to investigate how computational intelligence frameworks are going to improve information retrieval systems. The emerging and promising state-of-the-art of human–computer interaction is the motivation behind this book. The book covers a wide range of topics, starting from the tools and languages of artificial intelligence to its philosophical implications, and thus provides a plethora of theoretical as well as experimental research, along with surveys and impact studies. Further, the book aims to showcase the basics of information retrieval and computational intelligence for beginners, as well as their integration, and challenge discussions for existing practitioners, including using hybrid application of augmented reality, computational intelligence techniques for recommendation systems in big data, and a fuzzy-based approach for characterization and identification of sentiments.

Graph-based Natural Language Processing and Information Retrieval

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Publisher : Cambridge University Press
ISBN 13 : 1139498827
Total Pages : 201 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Graph-based Natural Language Processing and Information Retrieval by : Rada Mihalcea

Download or read book Graph-based Natural Language Processing and Information Retrieval written by Rada Mihalcea and published by Cambridge University Press. This book was released on 2011-04-11 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these areas have been perceived as distinct, with different algorithms, different applications and different potential end-users. However, recent research has shown that these disciplines are intimately connected, with a large variety of natural language processing and information retrieval applications finding efficient solutions within graph-theoretical frameworks. This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. It brings together topics as diverse as lexical semantics, text summarization, text mining, ontology construction, text classification and information retrieval, which are connected by the common underlying theme of the use of graph-theoretical methods for text and information processing tasks. Readers will come away with a firm understanding of the major methods and applications in natural language processing and information retrieval that rely on graph-based representations and algorithms.

1979-1990

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Publisher : Walter de Gruyter
ISBN 13 : 3110975068
Total Pages : 1284 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis 1979-1990 by : Henryk Sawoniak

Download or read book 1979-1990 written by Henryk Sawoniak and published by Walter de Gruyter. This book was released on 2012-02-14 with total page 1284 pages. Available in PDF, EPUB and Kindle. Book excerpt: