Found inside – Page 335Figure 1 illustrates a simplified multimedia information retrieval application composed by a multimedia database, analysis algorithms, a description ... 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 ... Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures. Found inside – Page iThe 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. This handbook of computational linguistics, written for academics, graduate students and researchers, provides a state-of-the-art reference to one of the most active and productive fields in linguistics. Found insideIn this book, we address issues of cluster ing algorithms, evaluation methodologies, applications, and architectures for information retrieval. The first two chapters discuss clustering algorithms. 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. In this book, Melucci and Baeza-Yates present a wide-spectrum illustration of recent research results in advanced areas related to information retrieval. Found inside – Page 233Clifford A. Lynch. 1 A ( Stonebraker 1982 ) Stonebraker , Michael . “ Application 1. 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. This monograph provides novel insights into cognitive mechanisms underlying the processing of sound and music in different environments. Found inside – Page 1To date there has been rather less interest in the use of parallel hardware for information retrieval applications , despite the fact that searching would seem to be an obvious area of application since it involves the matching of a query statement ... 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. Found inside – Page 94Speech recognition has of late become a practical technology for real world applications. Aiming at speech-driven text retrieval, which facilitates ... Found insideThis 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. Found inside – Page iEverything you ever wanted to know about multimedia retrieval and management. This comprehensive book offers a full picture of the cutting-edge technologies necessary for a profound introduction to the field. Found inside – Page iThis book constitutes the proceedings of the 35th European Conference on IR Research, ECIR 2013, held in Moscow, Russia, in March 2013. Found insideThe Digital Library effort is also progressing, with the goal of migrating from the traditional book environment to a digital library environment. Subsequently, it elaborates on the current work on user analysis and modeling in the context of music recommendation and retrieval, addressing the recent trend towards user-centric and adaptive approaches and systems. Found inside – Page iThis book offers a comprehensive and consistent mathematical approach to information retrieval (IR) without which no implementation is possible, and sheds an entirely new light upon the structure of IR models. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in. The authors emphasize high-level features and show how these are used in mathematical models to support the retrieval process. This book introduces the topic of IR and how it differs from other computer science disciplines. A discussion of the history of modern IR is briefly presented, and the notation of IR as used in this book is defined. As the information and data from multimedia databases continues to expand, the research and documentation surrounding it should keep pace as best as possible, and this book provides an excellent resource for the latest developments. "This book provides innovative research on information gathering, web data mining, and automation systems, addressing multidisciplinary applications and focusing on theories and methods with an enterprise-wide perspective"--Provided by ... An introduction to the core topics underlying search engine technologies, including algorithms, data structures, indexing, retrieval, and evaluation. The emphasis is on implementation and experimentation.-- Found insideHighlighting 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 ... This book is written for researchers and graduate students in both information retrieval and machine learning. This volume focuses on the use of Natural Language Processing in In formation Retrieval (IR), an area of science and technology that deals with cataloging, categorization, classification, and search of large amounts of information, ... Information Retrieval: A Biomedical and Health Perspective provides a practically applicable guide to range of techniques for information retrieval and is ideal for use by both the trainee and experienced biomedical informatician seeking an ... Everything you ever wanted to know about multimedia retrieval and management. This comprehensive book offers a full picture of the cutting-edge technologies necessary for a profound introduction to the field. With the aid of newly added questions and discussions at the end of each chapter, this Second Edition covers theory practical applications, evaluation, and research directions of all aspects of medical information retireval systems. Found inside – Page viiThis book offers comprehensive coverage of information retrieval by considering both Text Based Information Retrieval (TBIR) and Content Based Image Retrieval (CBIR), together with new research topics. This book is about Information Retrieval (IR), particularly Classical Information Retrieval (CIR). The studies reported here are carried out on different languages such as English, French, Japanese, and Portuguese. Difficult challenges remain, however. If you care about search engines, you need this book: it is the only one with full details of how they work. The book is both detailed and enjoyable; the authors have combined elegant writing with top-grade programming. Found insideThis book offers a helpful starting point in the scattered, rich, and complex body of literature on Mobile Information Retrieval (Mobile IR), reviewing more than 200 papers in nine chapters. Found inside – Page 192Black Box Evaluation for Operational Information Retrieval Applications Martin Braschler, Melanie Imhof, and Stefan Rietberger Zurich University of Applied ... 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 ... This book is "ideal for introductory information retrieval courses at the undergraduate and graduate level in computer science, information science and computer engineering departments. Found inside – Page iFeaturing 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, ... This book systematically reviews the large body of literature on applying statistical language models to information retrieval with an emphasis on the underlying principles, empirically effective language models, and language models ... The book you have in front of you is about Semantic Web technology and law. Law is something omnipresent; all citizens — at some points in their lives — have to deal with it. 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 book concludes with some examples of recent applications that utilise MLIR technologies. 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