Computational Information Retrieval

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Computational Intelligence for Information Retrieval

Dharmender Saini,Gopal Chaudhary,Vedika Gupta
Computational Intelligence for Information Retrieval Book PDF

Author : Dharmender Saini,Gopal Chaudhary,Vedika Gupta
Publisher : CRC Press
Page : 292 pages
File Size : 52,6 Mb
Release : 2021-12-14
Category : Technology & Engineering
ISBN : 9781000484717

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Computational Intelligence for Information Retrieval by Dharmender Saini,Gopal Chaudhary,Vedika Gupta Pdf

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.

Introduction to Information Retrieval

Christopher D. Manning,Prabhakar Raghavan,Hinrich Schütze
Introduction to Information Retrieval Book PDF

Author : Christopher D. Manning,Prabhakar Raghavan,Hinrich Schütze
Publisher : Cambridge University Press
Page : 128 pages
File Size : 46,8 Mb
Release : 2008-07-07
Category : Computers
ISBN : 9781139472104

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Introduction to Information Retrieval by Christopher D. Manning,Prabhakar Raghavan,Hinrich Schütze Pdf

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.

Soft Computing in Information Retrieval

Fabio Crestani,Gabriella Pasi
Soft Computing in Information Retrieval Book PDF

Author : Fabio Crestani,Gabriella Pasi
Publisher : Physica
Page : 398 pages
File Size : 51,9 Mb
Release : 2013-03-19
Category : Computers
ISBN : 9783790818499

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Soft Computing in Information Retrieval by Fabio Crestani,Gabriella Pasi Pdf

Information retrieval (IR) aims at defining systems able to provide a fast and effective content-based access to a large amount of stored information. The aim of an IR system is to estimate the relevance of documents to users' information needs, expressed by means of a query. This is a very difficult and complex task, since it is pervaded with imprecision and uncertainty. Most of the existing IR systems offer a very simple model of IR, which privileges efficiency at the expense of effectiveness. A promising direction to increase the effectiveness of IR is to model the concept of "partially intrinsic" in the IR process and to make the systems adaptive, i.e. able to "learn" the user's concept of relevance. To this aim, the application of soft computing techniques can be of help to obtain greater flexibility in IR systems.

Evaluating Information Retrieval and Access Tasks

Tetsuya Sakai,Douglas W. Oard,Noriko Kando
Evaluating Information Retrieval and Access Tasks Book PDF

Author : Tetsuya Sakai,Douglas W. Oard,Noriko Kando
Publisher : Springer Nature
Page : 225 pages
File Size : 48,5 Mb
Release : 1901
Category : Electronic books
ISBN : 9789811555541

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Evaluating Information Retrieval and Access Tasks by Tetsuya Sakai,Douglas W. Oard,Noriko Kando Pdf

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.

Bio-Inspired Computing for Information Retrieval Applications

Acharjya, D.P.,Mitra, Anirban
Bio Inspired Computing for Information Retrieval Applications Book PDF

Author : Acharjya, D.P.,Mitra, Anirban
Publisher : IGI Global
Page : 388 pages
File Size : 52,6 Mb
Release : 2017-02-14
Category : Computers
ISBN : 9781522523765

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Bio-Inspired Computing for Information Retrieval Applications by Acharjya, D.P.,Mitra, Anirban Pdf

The growing presence of biologically-inspired processing has caused significant changes in data retrieval. With the ubiquity of these technologies, more effective and streamlined data processing techniques are available. Bio-Inspired Computing for Information Retrieval Applications is a key resource on the latest advances and research regarding current techniques that have evolved from biologically-inspired processes and its application to a variety of problems. Highlighting multidisciplinary studies on data processing, swarm-based clustering, and evolutionary computation, this publication is an ideal reference source for researchers, academics, professionals, students, and practitioners.

Computational Information Retrieval

Michael W. Berry
Computational Information Retrieval Book PDF

Author : Michael W. Berry
Publisher : SIAM
Page : 206 pages
File Size : 53,5 Mb
Release : 2001-01-01
Category : Computers
ISBN : 0898715008

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Computational Information Retrieval by Michael W. Berry Pdf

This volume contains selected papers that focus on the use of linear algebra, computational statistics, and computer science in the development of algorithms and software systems for text retrieval. Experts in information modeling and retrieval share their perspectives on the design of scalable but precise text retrieval systems, revealing many of the challenges and obstacles that mathematical and statistical models must overcome to be viable for automated text processing. This very useful proceedings is an excellent companion for courses in information retrieval, applied linear algebra, and applied statistics.

Information Retrieval for Music and Motion

Meinard Müller
Information Retrieval for Music and Motion Book PDF

Author : Meinard Müller
Publisher : Springer Science & Business Media
Page : 319 pages
File Size : 41,5 Mb
Release : 2007-09-09
Category : Computers
ISBN : 9783540740483

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Information Retrieval for Music and Motion by Meinard Müller Pdf

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.

Information Retrieval

Ayse Goker,John Davies
Information Retrieval Book PDF

Author : Ayse Goker,John Davies
Publisher : John Wiley & Sons
Page : 320 pages
File Size : 55,9 Mb
Release : 2009-12-15
Category : Technology & Engineering
ISBN : 0470033630

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Information Retrieval by Ayse Goker,John Davies Pdf

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, Computational and Theoretical Aspects

H. S. Heaps
Information Retrieval Computational and Theoretical Aspects Book PDF

Author : H. S. Heaps
Publisher : New York : Academic Press
Page : 368 pages
File Size : 49,5 Mb
Release : 1978
Category : Computers
ISBN : 0123357500

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Information Retrieval, Computational and Theoretical Aspects by H. S. Heaps Pdf

General concepts; Document data bases for computer search; Question logic and format; Data structures for storage and retrieval; Structure of search programs; Vocabulary characteristics of document data bases; Information theory considerations; Coding and compression of data bases; Example of design of a document retrieval system; Document indexing and term associations; Automatic question modification; Automatic document classification; Concluding remarks.

Information Retrieval: Uncertainty and Logics

Cornelis Joost van Rijsbergen,Fabio Crestani,Mounia Lalmas
Information Retrieval Uncertainty and Logics Book PDF

Author : Cornelis Joost van Rijsbergen,Fabio Crestani,Mounia Lalmas
Publisher : Springer Science & Business Media
Page : 332 pages
File Size : 55,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461556176

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Information Retrieval: Uncertainty and Logics by Cornelis Joost van Rijsbergen,Fabio Crestani,Mounia Lalmas Pdf

In recent years, there have been several attempts to define a logic for information retrieval (IR). The aim was to provide a rich and uniform representation of information and its semantics with the goal of improving retrieval effectiveness. The basis of a logical model for IR is the assumption that queries and documents can be represented effectively by logical formulae. To retrieve a document, an IR system has to infer the formula representing the query from the formula representing the document. This logical interpretation of query and document emphasizes that relevance in IR is an inference process. The use of logic to build IR models enables one to obtain models that are more general than earlier well-known IR models. Indeed, some logical models are able to represent within a uniform framework various features of IR systems such as hypermedia links, multimedia data, and user's knowledge. Logic also provides a common approach to the integration of IR systems with logical database systems. Finally, logic makes it possible to reason about an IR model and its properties. This latter possibility is becoming increasingly more important since conventional evaluation methods, although good indicators of the effectiveness of IR systems, often give results which cannot be predicted, or for that matter satisfactorily explained. However, logic by itself cannot fully model IR. The success or the failure of the inference of the query formula from the document formula is not enough to model relevance in IR. It is necessary to take into account the uncertainty inherent in such an inference process. In 1986, Van Rijsbergen proposed the uncertainty logical principle to model relevance as an uncertain inference process. When proposing the principle, Van Rijsbergen was not specific about which logic and which uncertainty theory to use. As a consequence, various logics and uncertainty theories have been proposed and investigated. The choice of an appropriate logic and uncertainty mechanism has been a main research theme in logical IR modeling leading to a number of logical IR models over the years. Information Retrieval: Uncertainty and Logics contains a collection of exciting papers proposing, developing and implementing logical IR models. This book is appropriate for use as a text for a graduate-level course on Information Retrieval or Database Systems, and as a reference for researchers and practitioners in industry.

Information Retrieval

Stefan Buttcher,Charles L. A. Clarke,Gordon V. Cormack
Information Retrieval Book PDF

Author : Stefan Buttcher,Charles L. A. Clarke,Gordon V. Cormack
Publisher : MIT Press
Page : 633 pages
File Size : 43,5 Mb
Release : 2016-02-12
Category : Computers
ISBN : 9780262528870

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Information Retrieval by Stefan Buttcher,Charles L. A. Clarke,Gordon V. Cormack Pdf

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.

Advances in Music Information Retrieval

Zbigniew W Ras,Alicja Wieczorkowska
Advances in Music Information Retrieval Book PDF

Author : Zbigniew W Ras,Alicja Wieczorkowska
Publisher : Springer Science & Business Media
Page : 411 pages
File Size : 54,5 Mb
Release : 2010-02-28
Category : Mathematics
ISBN : 9783642116735

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Advances in Music Information Retrieval by Zbigniew W Ras,Alicja Wieczorkowska Pdf

Sound waves propagate through various media, and allow communication or entertainment for us, humans. Music we hear or create can be perceived in such aspects as rhythm, melody, harmony, timbre, or mood. All these elements of music can be of interest for users of music information retrieval systems. Since vast music repositories are available for everyone in everyday use (both in private collections, and in the Internet), it is desirable and becomes necessary to browse music collections by contents. Therefore, music information retrieval can be potentially of interest for every user of computers and the Internet. There is a lot of research performed in music information retrieval domain, and the outcomes, as well as trends in this research, are certainly worth popularizing. This idea motivated us to prepare the book on Advances in Music Information Retrieval. It is divided into four sections: MIR Methods and Platforms, Harmony, Music Similarity, and Content Based Identification and Retrieval. Glossary of basic terms is given at the end of the book, to familiarize readers with vocabulary referring to music information retrieval.

Information Retrieval

David A. Grossman,Ophir Frieder
Information Retrieval Book PDF

Author : David A. Grossman,Ophir Frieder
Publisher : Springer Science & Business Media
Page : 356 pages
File Size : 50,9 Mb
Release : 2004-10-21
Category : Computers
ISBN : 1402030045

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Information Retrieval by David A. Grossman,Ophir Frieder Pdf

An introduction to the study of information retrieval covering both effectiveness and run-time performance. The focus is on the algorithms and heuristics used to find documents relevant to the user request quickly, with the most common illustrated in examples. To facilitate understanding and applications, discussions of computational linguistics, natural language processing, probability theory, and library and computer science are provided. The basic strategies used by many commercial products are described. Techniques that can be used to find information on the Web as well as in other large information collections are included. Annotation copyrighted by Book News, Inc., Portland, OR

Advances in Information Retrieval

Djoerd Hiemstra,Marie-Francine Moens,Josiane Mothe,Raffaele Perego,Martin Potthast,Fabrizio Sebastiani
Advances in Information Retrieval Book PDF

Author : Djoerd Hiemstra,Marie-Francine Moens,Josiane Mothe,Raffaele Perego,Martin Potthast,Fabrizio Sebastiani
Publisher : Springer Nature
Page : 808 pages
File Size : 46,5 Mb
Release : 2021-03-26
Category : Computers
ISBN : 9783030721138

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Advances in Information Retrieval by Djoerd Hiemstra,Marie-Francine Moens,Josiane Mothe,Raffaele Perego,Martin Potthast,Fabrizio Sebastiani Pdf

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.

Computer-aided Information Retrieval

Andrew E. Wessel
Computer aided Information Retrieval Book PDF

Author : Andrew E. Wessel
Publisher : Los Angeles, Calif. : Melville Publishing Company
Page : 230 pages
File Size : 46,5 Mb
Release : 1974
Category : Computers
ISBN : UOM:39015004533504

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Computer-aided Information Retrieval by Andrew E. Wessel Pdf

Well-structured and III structured information; Indexing and analysis of information some preliminary concepts; Free text indexing the problems and paradoxes; Previous approaches and results - a tale of two continents; Automation vs semi-automation; Thesauri, computers and people - a feasible approach; Basic principles of thesauri construction for automated information retrieval; Computer software and some harware considerations; An approach that works.