Search (7 results, page 1 of 1)

0.024388544 = product of:
  0.04877709 = sum of:
    0.04877709 = sum of:
      0.020474091 = weight(_text_:technology in 1082) [ClassicSimilarity], result of:
        0.020474091 = score(doc=1082,freq=2.0), product of:
          0.15554588 = queryWeight, product of:
            2.978387 = idf(docFreq=6114, maxDocs=44218)
            0.052224867 = queryNorm
          0.13162735 = fieldWeight in 1082, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            2.978387 = idf(docFreq=6114, maxDocs=44218)
            0.03125 = fieldNorm(doc=1082)
      0.028302995 = weight(_text_:22 in 1082) [ClassicSimilarity], result of:
        0.028302995 = score(doc=1082,freq=2.0), product of:
          0.18288259 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.052224867 = queryNorm
          0.15476047 = fieldWeight in 1082, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.03125 = fieldNorm(doc=1082)
  0.5 = coord(1/2)

Abstract

With the proliferation of huge amounts of (heterogeneous) data on the Web, the importance of information retrieval (IR) has grown considerably over the last few years. Big players in the computer industry, such as Google, Microsoft and Yahoo!, are the primary contributors of technology for fast access to Web-based information; and searching capabilities are now integrated into most information systems, ranging from business management software and customer relationship systems to social networks and mobile phone applications. 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 first part addresses the principles of IR and provides a systematic and compact description of basic information retrieval techniques (including binary, vector space and probabilistic models as well as natural language search processing) before focusing on its application to the Web. Part two addresses the foundational aspects of Web IR by discussing the general architecture of search engines (with a focus on the crawling and indexing processes), describing link analysis methods (specifically Page Rank and HITS), addressing recommendation and diversification, and finally presenting advertising in search (the main source of revenues for search engines). The third and final part describes advanced aspects of Web search, each chapter providing a self-contained, up-to-date survey on current Web research directions. Topics in this part include meta-search and multi-domain search, semantic search, search in the context of multimedia data, and crowd search. The book is ideally suited to courses on information retrieval, as it covers all Web-independent foundational aspects. Its presentation is self-contained and does not require prior background knowledge. It can also be used in the context of classic courses on data management, allowing the instructor to cover both structured and unstructured data in various formats. Its classroom use is facilitated by a set of slides, which can be downloaded from www.search-computing.org.

Date

16.10.2013 19:22:44

0.010858027 = product of:
  0.021716055 = sum of:
    0.021716055 = product of:
      0.04343211 = sum of:
        0.04343211 = weight(_text_:technology in 4096) [ClassicSimilarity], result of:
          0.04343211 = score(doc=4096,freq=4.0), product of:
            0.15554588 = queryWeight, product of:
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.052224867 = queryNorm
            0.2792238 = fieldWeight in 4096, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.046875 = fieldNorm(doc=4096)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

This new and updated second edition of a classic text provides a thought-provoking introduction to metadata for all library and information students and professionals. Metadata for Information Management and Retrieval has been fully revised by David Haynes to bring it up to date with new technology and standards. The new edition, containing new chapters on Metadata Standards and Encoding Schemes, assesses the current theory and practice of metadata and examines key developments in terms of both policy and technology. Coverage includes: an introduction to the concept of metadata a description of the main components of metadata systems and standards an overview of the scope of metadata and its applications a description of typical information retrieval issues in corporate and research environments a demonstration of ways in which metadata is used to improve retrieval a look at ways in which metadata is used to manage information consideration of the role of metadata in information governance.

0.009048356 = product of:
  0.018096711 = sum of:
    0.018096711 = product of:
      0.036193423 = sum of:
        0.036193423 = weight(_text_:technology in 262) [ClassicSimilarity], result of:
          0.036193423 = score(doc=262,freq=4.0), product of:
            0.15554588 = queryWeight, product of:
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.052224867 = queryNorm
            0.23268649 = fieldWeight in 262, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.0390625 = fieldNorm(doc=262)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

LCSH

Information technology

Subject

Information technology

0.008844686 = product of:
  0.017689371 = sum of:
    0.017689371 = product of:
      0.035378743 = sum of:
        0.035378743 = weight(_text_:22 in 1753) [ClassicSimilarity], result of:
          0.035378743 = score(doc=1753,freq=2.0), product of:
            0.18288259 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.052224867 = queryNorm
            0.19345059 = fieldWeight in 1753, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1753)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Date

22. 3.2008 12:26:32

0.005540964 = product of:
  0.011081928 = sum of:
    0.011081928 = product of:
      0.022163857 = sum of:
        0.022163857 = weight(_text_:technology in 636) [ClassicSimilarity], result of:
          0.022163857 = score(doc=636,freq=6.0), product of:
            0.15554588 = queryWeight, product of:
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.052224867 = queryNorm
            0.1424908 = fieldWeight in 636, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.01953125 = fieldNorm(doc=636)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

The Text REtrieval Conference (TREC), a yearly workshop hosted by the US government's National Institute of Standards and Technology, provides the infrastructure necessary for large-scale evaluation of text retrieval methodologies. With the goal of accelerating research in this area, TREC created the first large test collections of full-text documents and standardized retrieval evaluation. The impact has been significant; since TREC's beginning in 1992, retrieval effectiveness has approximately doubled. TREC has built a variety of large test collections, including collections for such specialized retrieval tasks as cross-language retrieval and retrieval of speech. Moreover, TREC has accelerated the transfer of research ideas into commercial systems, as demonstrated in the number of retrieval techniques developed in TREC that are now used in Web search engines. This book provides a comprehensive review of TREC research, summarizing the variety of TREC results, documenting the best practices in experimental information retrieval, and suggesting areas for further research. The first part of the book describes TREC's history, test collections, and retrieval methodology. Next, the book provides "track" reports -- describing the evaluations of specific tasks, including routing and filtering, interactive retrieval, and retrieving noisy text. The final part of the book offers perspectives on TREC from such participants as Microsoft Research, University of Massachusetts, Cornell University, University of Waterloo, City University of New York, and IBM. The book will be of interest to researchers in information retrieval and related technologies, including natural language processing.

Footnote

Rez. in: JASIST 58(2007) no.6, S.910-911 (J.L. Vicedo u. J. Gomez): "The Text REtrieval Conference (TREC) is a yearly workshop hosted by the U.S. government's National Institute of Standards and Technology (NIST) that fosters and supports research in information retrieval as well as speeding the transfer of technology between research labs and industry. Since 1992, TREC has provided the infrastructure necessary for large-scale evaluations of different text retrieval methodologies. TREC impact has been very important and its success has been mainly supported by its continuous adaptation to the emerging information retrieval needs. Not in vain, TREC has built evaluation benchmarks for more than 20 different retrieval problems such as Web retrieval, speech retrieval, or question-answering. The large and intense trajectory of annual TREC conferences has resulted in an immense bulk of documents reflecting the different eval uation and research efforts developed. This situation makes it difficult sometimes to observe clearly how research in information retrieval (IR) has evolved over the course of TREC. TREC: Experiment and Evaluation in Information Retrieval succeeds in organizing and condensing all this research into a manageable volume that describes TREC history and summarizes the main lessons learned. The book is organized into three parts. The first part is devoted to the description of TREC's origin and history, the test collections, and the evaluation methodology developed. The second part describes a selection of the major evaluation exercises (tracks), and the third part contains contributions from research groups that had a large and remarkable participation in TREC. Finally, Karen Spark Jones, one of the main promoters of research in IR, closes the book with an epilogue that analyzes the impact of TREC on this research field.

0.005118523 = product of:
  0.010237046 = sum of:
    0.010237046 = product of:
      0.020474091 = sum of:
        0.020474091 = weight(_text_:technology in 26) [ClassicSimilarity], result of:
          0.020474091 = score(doc=26,freq=2.0), product of:
            0.15554588 = queryWeight, product of:
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.052224867 = queryNorm
            0.13162735 = fieldWeight in 26, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.03125 = fieldNorm(doc=26)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

We live in an information age that requires us, more than ever, to represent, access, and use information. Over the last several decades, we have developed a modern science and technology for information retrieval, relentlessly pursuing the vision of a "memex" that Vannevar Bush proposed in his seminal article, "As We May Think." Faceted search plays a key role in this program. Faceted search addresses weaknesses of conventional search approaches and has emerged as a foundation for interactive information retrieval. User studies demonstrate that faceted search provides more effective information-seeking support to users than best-first search. Indeed, faceted search has become increasingly prevalent in online information access systems, particularly for e-commerce and site search. In this lecture, we explore the history, theory, and practice of faceted search. Although we cannot hope to be exhaustive, our aim is to provide sufficient depth and breadth to offer a useful resource to both researchers and practitioners. Because faceted search is an area of interest to computer scientists, information scientists, interface designers, and usability researchers, we do not assume that the reader is a specialist in any of these fields. Rather, we offer a self-contained treatment of the topic, with an extensive bibliography for those who would like to pursue particular aspects in more depth.

0.0025592614 = product of:
  0.005118523 = sum of:
    0.005118523 = product of:
      0.010237046 = sum of:
        0.010237046 = weight(_text_:technology in 312) [ClassicSimilarity], result of:
          0.010237046 = score(doc=312,freq=2.0), product of:
            0.15554588 = queryWeight, product of:
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.052224867 = queryNorm
            0.065813676 = fieldWeight in 312, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.978387 = idf(docFreq=6114, maxDocs=44218)
              0.015625 = fieldNorm(doc=312)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Footnote

Für wen wurde dieses Buch eigentlich geschrieben? Der Verlag, sonst für eher praktisch orientierte Computerbücher bekannt, ordnet es auf dem Umschlag den Bereichen "Marketing" sowie "Technology & Society" zu. Für letztere Zielgruppe ist es aber sicher weniger geeignet, da auch der gesellschaftliche Hintergrund zu dünn ist. So bleibt der Bereich Marketing oder doch eher die Zielgruppe derjenigen, die ohne fachbezogenes Studium in den Bereich Informationssysteme bzw. Informationsarchitektur "hineingeschlittert" sind. Für diese mag auch das Kapitel über "Information Interaction" (bedingt) geeignet sein, bietet es doch zumindest einen gut lesbaren Einblick in einige zentrale Punkte. Das vierte Kapitel ("Intertwingled") beschreibt den Zugriff auf Informationen mittels verschiedener Erdgeräte in unterschiedlichen Kontexten. Es geht hier neben neuen Ansätzen des Wegefindens, um lokalisierbare Objekte und Kleidung, in die Informationstechnologie mit eingebaut ist. Dabei handelt es sich um einen guten (und vor allem beispielreichen) Überblick der aufkommenden Technologien. Kapitel s behandelt die Integration von Push- und PullAnsätzen, wobei die zentrale Aussage lautet, dass beide Ansätze immer mehr zusammenwachsen und die Entscheidung für den einen oder den anderen Ansatz vom Nutzer spontan gemäß seinen Informationsbedürfnissen getroffen wird. In diesem Kapitel wird auch das Thema Personalisierung abgehandelt und auf die bei der Personalisierung entstehenden Probleme eingegangen. Lange Zeit wurde Personalisierung schlicht als ein Verfahren gesehen, aus einmal erfassten Nutzerdaten Empfehlungen abzuleiten. Dass dies nicht problemlos möglich ist, erläutert Morville an einigen Punkten. Etwas bedauerlich ist hier, dass die Erläuterungen sehr knapp gehalten sind. Gerade zu diesem interessanten Thema hätte man gerne mehr Details erfahren.