Search (5 results, page 1 of 1)

0.026201434 = sum of:
  0.012018493 = product of:
    0.048073974 = sum of:
      0.048073974 = weight(_text_:authors in 1082) [ClassicSimilarity], result of:
        0.048073974 = score(doc=1082,freq=2.0), product of:
          0.23861247 = queryWeight, product of:
            4.558814 = idf(docFreq=1258, maxDocs=44218)
            0.05234091 = queryNorm
          0.20147301 = fieldWeight in 1082, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            4.558814 = idf(docFreq=1258, maxDocs=44218)
            0.03125 = fieldNorm(doc=1082)
    0.25 = coord(1/4)
  0.014182941 = product of:
    0.028365882 = sum of:
      0.028365882 = weight(_text_:22 in 1082) [ClassicSimilarity], result of:
        0.028365882 = score(doc=1082,freq=2.0), product of:
          0.18328895 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.05234091 = 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

0.021231137 = sum of:
  0.007511559 = product of:
    0.030046236 = sum of:
      0.030046236 = weight(_text_:authors in 636) [ClassicSimilarity], result of:
        0.030046236 = score(doc=636,freq=2.0), product of:
          0.23861247 = queryWeight, product of:
            4.558814 = idf(docFreq=1258, maxDocs=44218)
            0.05234091 = queryNorm
          0.12592064 = fieldWeight in 636, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            4.558814 = idf(docFreq=1258, maxDocs=44218)
            0.01953125 = fieldNorm(doc=636)
    0.25 = coord(1/4)
  0.013719578 = product of:
    0.027439157 = sum of:
      0.027439157 = weight(_text_:r in 636) [ClassicSimilarity], result of:
        0.027439157 = score(doc=636,freq=6.0), product of:
          0.17326194 = queryWeight, product of:
            3.3102584 = idf(docFreq=4387, maxDocs=44218)
            0.05234091 = queryNorm
          0.15836805 = fieldWeight in 636, product of:
            2.4494898 = tf(freq=6.0), with freq of:
              6.0 = termFreq=6.0
            3.3102584 = idf(docFreq=4387, maxDocs=44218)
            0.01953125 = fieldNorm(doc=636)
    0.5 = coord(1/2)

Content

Enthält die Beiträge: 1. The Text REtrieval Conference - Ellen M. Voorhees and Donna K. Harman 2. The TREC Test Collections - Donna K. Harman 3. Retrieval System Evaluation - Chris Buckley and Ellen M. Voorhees 4. The TREC Ad Hoc Experiments - Donna K. Harman 5. Routing and Filtering - Stephen Robertson and Jamie Callan 6. The TREC Interactive Tracks: Putting the User into Search - Susan T. Dumais and Nicholas J. Belkin 7. Beyond English - Donna K. Harman 8. Retrieving Noisy Text - Ellen M. Voorhees and John S. Garofolo 9.The Very Large Collection and Web Tracks - David Hawking and Nick Craswell 10. Question Answering in TREC - Ellen M. Voorhees 11. The University of Massachusetts and a Dozen TRECs - James Allan, W. Bruce Croft and Jamie Callan 12. How Okapi Came to TREC - Stephen Robertson 13. The SMART Project at TREC - Chris Buckley 14. Ten Years of Ad Hoc Retrieval at TREC Using PIRCS - Kui-Lam Kwok 15. MultiText Experiments for TREC - Gordon V. Cormack, Charles L. A. Clarke, Christopher R. Palmer and Thomas R. Lynam 16. A Language-Modeling Approach to TREC - Djoerd Hiemstra and Wessel Kraaij 17. BM Research Activities at TREC - Eric W. Brown, David Carmel, Martin Franz, Abraham Ittycheriah, Tapas Kanungo, Yoelle Maarek, J. Scott McCarley, Robert L. Mack, John M. Prager, John R. Smith, Aya Soffer, Jason Y. Zien and Alan D. Marwick Epilogue: Metareflections on TREC - Karen Sparck Jones

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."

0.0088643385 = product of:
  0.017728677 = sum of:
    0.017728677 = product of:
      0.035457354 = sum of:
        0.035457354 = weight(_text_:22 in 1753) [ClassicSimilarity], result of:
          0.035457354 = score(doc=1753,freq=2.0), product of:
            0.18328895 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.05234091 = 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

0.006336801 = product of:
  0.012673602 = sum of:
    0.012673602 = product of:
      0.025347205 = sum of:
        0.025347205 = weight(_text_:r in 4731) [ClassicSimilarity], result of:
          0.025347205 = score(doc=4731,freq=2.0), product of:
            0.17326194 = queryWeight, product of:
              3.3102584 = idf(docFreq=4387, maxDocs=44218)
              0.05234091 = queryNorm
            0.14629413 = fieldWeight in 4731, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.3102584 = idf(docFreq=4387, maxDocs=44218)
              0.03125 = fieldNorm(doc=4731)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

0.0060092467 = product of:
  0.012018493 = sum of:
    0.012018493 = product of:
      0.048073974 = sum of:
        0.048073974 = weight(_text_:authors in 4041) [ClassicSimilarity], result of:
          0.048073974 = score(doc=4041,freq=2.0), product of:
            0.23861247 = queryWeight, product of:
              4.558814 = idf(docFreq=1258, maxDocs=44218)
              0.05234091 = queryNorm
            0.20147301 = fieldWeight in 4041, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.558814 = idf(docFreq=1258, maxDocs=44218)
              0.03125 = fieldNorm(doc=4041)
      0.25 = coord(1/4)
  0.5 = coord(1/2)

Abstract

Class-tested and coherent, this textbook teaches information retrieval, including web search, text classification, and text clustering from basic concepts. Ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students. Slides and additional exercises are available for lecturers. - This book provides what Salton and Van Rijsbergen both failed to achieve. Even more important, unlike some other books in IR, the authors appear to care about making the theory as accessible as possible to the reader, on occasion including short primers to certain topics or choosing to explain difficult concepts using simplified approaches. Its coverage [is] excellent, the quality of writing high and I was surprised how much I learned from reading it. I think the online resources are impressive.