Search (3 results, page 1 of 1)

0.024070026 = product of:
  0.060175065 = sum of:
    0.048542626 = weight(_text_:business in 1082) [ClassicSimilarity], result of:
      0.048542626 = score(doc=1082,freq=2.0), product of:
        0.21714608 = queryWeight, product of:
          5.0583196 = idf(docFreq=763, maxDocs=44218)
          0.042928502 = queryNorm
        0.22354825 = fieldWeight in 1082, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.0583196 = idf(docFreq=763, maxDocs=44218)
          0.03125 = fieldNorm(doc=1082)
    0.011632439 = product of:
      0.023264877 = sum of:
        0.023264877 = weight(_text_:22 in 1082) [ClassicSimilarity], result of:
          0.023264877 = score(doc=1082,freq=2.0), product of:
            0.1503283 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.042928502 = 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)
  0.4 = coord(2/5)

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

0.0075189597 = product of:
  0.0375948 = sum of:
    0.0375948 = weight(_text_:great in 636) [ClassicSimilarity], result of:
      0.0375948 = score(doc=636,freq=2.0), product of:
        0.24172091 = queryWeight, product of:
          5.6307793 = idf(docFreq=430, maxDocs=44218)
          0.042928502 = queryNorm
        0.15552977 = fieldWeight in 636, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.6307793 = idf(docFreq=430, maxDocs=44218)
          0.01953125 = fieldNorm(doc=636)
  0.2 = coord(1/5)

Footnote

... TREC: Experiment and Evaluation in Information Retrieval is a reliable and comprehensive review of the TREC program and has been adopted by NIST as the official history of TREC (see http://trec.nist.gov). We were favorably surprised by the book. Well structured and written, chapters are self-contained and the existence of references to specialized and more detailed publications is continuous, which makes it easier to expand into the different aspects analyzed in the text. This book succeeds in compiling TREC evolution from its inception in 1992 to 2003 in an adequate and manageable volume. Thanks to the impressive effort performed by the authors and their experience in the field, it can satiate the interests of a great variety of readers. While expert researchers in the IR field and IR-related industrial companies can use it as a reference manual, it seems especially useful for students and non-expert readers willing to approach this research area. Like NIST, we would recommend this reading to anyone who may be interested in textual information retrieval."

0.0029081097 = product of:
  0.014540548 = sum of:
    0.014540548 = product of:
      0.029081097 = sum of:
        0.029081097 = weight(_text_:22 in 1753) [ClassicSimilarity], result of:
          0.029081097 = score(doc=1753,freq=2.0), product of:
            0.1503283 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.042928502 = 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)
  0.2 = coord(1/5)

Date

22. 3.2008 12:26:32