Search (7 results, page 1 of 1)

0.024722286 = product of:
  0.04944457 = sum of:
    0.04944457 = product of:
      0.09888914 = sum of:
        0.09888914 = weight(_text_:22 in 3445) [ClassicSimilarity], result of:
          0.09888914 = score(doc=3445,freq=2.0), product of:
            0.18256627 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.05213454 = queryNorm
            0.5416616 = fieldWeight in 3445, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.109375 = fieldNorm(doc=3445)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Date

25. 8.2005 17:42:22

0.014605265 = product of:
  0.02921053 = sum of:
    0.02921053 = product of:
      0.05842106 = sum of:
        0.05842106 = weight(_text_:classification in 928) [ClassicSimilarity], result of:
          0.05842106 = score(doc=928,freq=2.0), product of:
            0.16603322 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.05213454 = queryNorm
            0.35186368 = fieldWeight in 928, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.078125 = fieldNorm(doc=928)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

In this note, we show how to marginalize over the damping parameter of the PageRank equation so as to obtain a parameter-free version known as TotalRank. Our discussion is meant as a reference and intended to provide a guided tour towards an interesting result that has applications in information retrieval and classification.

0.014127021 = product of:
  0.028254041 = sum of:
    0.028254041 = product of:
      0.056508083 = sum of:
        0.056508083 = weight(_text_:22 in 1484) [ClassicSimilarity], result of:
          0.056508083 = score(doc=1484,freq=2.0), product of:
            0.18256627 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.05213454 = queryNorm
            0.30952093 = fieldWeight in 1484, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0625 = fieldNorm(doc=1484)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Date

13. 9.2014 14:45:22

0.012361143 = product of:
  0.024722286 = sum of:
    0.024722286 = product of:
      0.04944457 = sum of:
        0.04944457 = weight(_text_:22 in 3276) [ClassicSimilarity], result of:
          0.04944457 = score(doc=3276,freq=2.0), product of:
            0.18256627 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.05213454 = queryNorm
            0.2708308 = fieldWeight in 3276, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0546875 = fieldNorm(doc=3276)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Date

20. 3.2005 16:23:22

0.010595265 = product of:
  0.02119053 = sum of:
    0.02119053 = product of:
      0.04238106 = sum of:
        0.04238106 = weight(_text_:22 in 2717) [ClassicSimilarity], result of:
          0.04238106 = score(doc=2717,freq=2.0), product of:
            0.18256627 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.05213454 = queryNorm
            0.23214069 = fieldWeight in 2717, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046875 = fieldNorm(doc=2717)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Date

11. 9.2004 17:32:22

0.00876316 = product of:
  0.01752632 = sum of:
    0.01752632 = product of:
      0.03505264 = sum of:
        0.03505264 = weight(_text_:classification in 2799) [ClassicSimilarity], result of:
          0.03505264 = score(doc=2799,freq=2.0), product of:
            0.16603322 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.05213454 = queryNorm
            0.21111822 = fieldWeight in 2799, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.046875 = fieldNorm(doc=2799)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

With ever increasing information being available to the end users, search engines have become the most powerful tools for obtaining useful information scattered on the Web. However, it is very common that even most renowned search engines return result sets with not so useful pages to the user. Research on semantic search aims to improve traditional information search and retrieval methods where the basic relevance criteria rely primarily on the presence of query keywords within the returned pages. This work is an attempt to explore different relevancy ranking approaches based on semantics which are considered appropriate for the retrieval of relevant information. In this paper, various pilot projects and their corresponding outcomes have been investigated based on methodologies adopted and their most distinctive characteristics towards ranking. An overview of selected approaches and their comparison by means of the classification criteria has been presented. With the help of this comparison, some common concepts and outstanding features have been identified.

0.00438158 = product of:
  0.00876316 = sum of:
    0.00876316 = product of:
      0.01752632 = sum of:
        0.01752632 = weight(_text_:classification in 6) [ClassicSimilarity], result of:
          0.01752632 = score(doc=6,freq=2.0), product of:
            0.16603322 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.05213454 = queryNorm
            0.10555911 = fieldWeight in 6, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.0234375 = fieldNorm(doc=6)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Content

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