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  • × classification_ss:"54.32 / Rechnerkommunikation"
  1. Langville, A.N.; Meyer, C.D.: Google's PageRank and beyond : the science of search engine rankings (2006) 0.05
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    Content
    Inhalt: Chapter 1. Introduction to Web Search Engines: 1.1 A Short History of Information Retrieval - 1.2 An Overview of Traditional Information Retrieval - 1.3 Web Information Retrieval Chapter 2. Crawling, Indexing, and Query Processing: 2.1 Crawling - 2.2 The Content Index - 2.3 Query Processing Chapter 3. Ranking Webpages by Popularity: 3.1 The Scene in 1998 - 3.2 Two Theses - 3.3 Query-Independence Chapter 4. The Mathematics of Google's PageRank: 4.1 The Original Summation Formula for PageRank - 4.2 Matrix Representation of the Summation Equations - 4.3 Problems with the Iterative Process - 4.4 A Little Markov Chain Theory - 4.5 Early Adjustments to the Basic Model - 4.6 Computation of the PageRank Vector - 4.7 Theorem and Proof for Spectrum of the Google Matrix Chapter 5. Parameters in the PageRank Model: 5.1 The a Factor - 5.2 The Hyperlink Matrix H - 5.3 The Teleportation Matrix E Chapter 6. The Sensitivity of PageRank; 6.1 Sensitivity with respect to alpha - 6.2 Sensitivity with respect to H - 6.3 Sensitivity with respect to vT - 6.4 Other Analyses of Sensitivity - 6.5 Sensitivity Theorems and Proofs Chapter 7. The PageRank Problem as a Linear System: 7.1 Properties of (I - alphaS) - 7.2 Properties of (I - alphaH) - 7.3 Proof of the PageRank Sparse Linear System Chapter 8. Issues in Large-Scale Implementation of PageRank: 8.1 Storage Issues - 8.2 Convergence Criterion - 8.3 Accuracy - 8.4 Dangling Nodes - 8.5 Back Button Modeling
    Chapter 9. Accelerating the Computation of PageRank: 9.1 An Adaptive Power Method - 9.2 Extrapolation - 9.3 Aggregation - 9.4 Other Numerical Methods Chapter 10. Updating the PageRank Vector: 10.1 The Two Updating Problems and their History - 10.2 Restarting the Power Method - 10.3 Approximate Updating Using Approximate Aggregation - 10.4 Exact Aggregation - 10.5 Exact vs. Approximate Aggregation - 10.6 Updating with Iterative Aggregation - 10.7 Determining the Partition - 10.8 Conclusions Chapter 11. The HITS Method for Ranking Webpages: 11.1 The HITS Algorithm - 11.2 HITS Implementation - 11.3 HITS Convergence - 11.4 HITS Example - 11.5 Strengths and Weaknesses of HITS - 11.6 HITS's Relationship to Bibliometrics - 11.7 Query-Independent HITS - 11.8 Accelerating HITS - 11.9 HITS Sensitivity Chapter 12. Other Link Methods for Ranking Webpages: 12.1 SALSA - 12.2 Hybrid Ranking Methods - 12.3 Rankings based on Traffic Flow Chapter 13. The Future of Web Information Retrieval: 13.1 Spam - 13.2 Personalization - 13.3 Clustering - 13.4 Intelligent Agents - 13.5 Trends and Time-Sensitive Search - 13.6 Privacy and Censorship - 13.7 Library Classification Schemes - 13.8 Data Fusion Chapter 14. Resources for Web Information Retrieval: 14.1 Resources for Getting Started - 14.2 Resources for Serious Study Chapter 15. The Mathematics Guide: 15.1 Linear Algebra - 15.2 Perron-Frobenius Theory - 15.3 Markov Chains - 15.4 Perron Complementation - 15.5 Stochastic Complementation - 15.6 Censoring - 15.7 Aggregation - 15.8 Disaggregation
    RSWK
    Google / Suchmaschine / Ranking (BVB)
    Subject
    Google / Suchmaschine / Ranking (BVB)
  2. Widhalm, R.; Mück, T.: Topic maps : Semantische Suche im Internet (2002) 0.02
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    Abstract
    Das Werk behandelt die aktuellen Entwicklungen zur inhaltlichen Erschließung von Informationsquellen im Internet. Topic Maps, semantische Modelle vernetzter Informationsressourcen unter Verwendung von XML bzw. HyTime, bieten alle notwendigen Modellierungskonstrukte, um Dokumente im Internet zu klassifizieren und ein assoziatives, semantisches Netzwerk über diese zu legen. Neben Einführungen in XML, XLink, XPointer sowie HyTime wird anhand von Einsatzszenarien gezeigt, wie diese neuartige Technologie für Content Management und Information Retrieval im Internet funktioniert. Der Entwurf einer Abfragesprache wird ebenso skizziert wie der Prototyp einer intelligenten Suchmaschine. Das Buch zeigt, wie Topic Maps den Weg zu semantisch gesteuerten Suchprozessen im Internet weisen.
    RSWK
    Internet / Navigieren / Suchmaschine / Abfragesprache / Semantisches Netz / ISO-Norm
    Subject
    Internet / Navigieren / Suchmaschine / Abfragesprache / Semantisches Netz / ISO-Norm
  3. Wegweiser im Netz : Qualität und Nutzung von Suchmaschinen (2004) 0.01
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    RSWK
    Internet / Suchmaschine / Navigieren / Leistungsbewertung
    Subject
    Internet / Suchmaschine / Navigieren / Leistungsbewertung
  4. Belew, R.K.: Finding out about : a cognitive perspective on search engine technology and the WWW (2001) 0.01
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    RSWK
    Suchmaschine / World Wide Web / Information Retrieval
    Subject
    Suchmaschine / World Wide Web / Information Retrieval
  5. Tennant, R.; Lipow, A.; Ober, J.: Crossing the Internet threshold : an instructional handbook (1993) 0.00
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    Footnote
    Rez. in: Journal of academic librarianship 19(1993) S.169-170 (S.L. Davidsen); Information processing and management 29(1993) no.4, S.531 (W.F. u. L.L. Wagoner): Library software review 1993, Fall, S.80 (A. Hamilton)
  6. Eddings, J.: How the Internet works (1994) 0.00
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    Date
    29. 2.2008 18:48:52
  7. Schweibenz, W.; Thissen, F.: Qualität im Web : Benutzerfreundliche Webseiten durch Usability Evaluation (2003) 0.00
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    Date
    22. 3.2008 14:24:08
  8. Bleuel, J.: Online Publizieren im Internet : elektronische Zeitschriften und Bücher (1995) 0.00
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    Date
    22. 3.2008 16:15:37
  9. Spinning the Semantic Web : bringing the World Wide Web to its full potential (2003) 0.00
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    Date
    29. 3.1996 18:16:49

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