Search (11 results, page 1 of 1)

Zhang, J.; Dimitroff, A.: ¬The impact of webpage content characteristics on webpage visibility in search engine results : part I (2005) 0.01

0.006024538 = product of:
  0.042171765 = sum of:
    0.042171765 = weight(_text_:i in 1032) [ClassicSimilarity], result of:
      0.042171765 = score(doc=1032,freq=2.0), product of:
        0.12649874 = queryWeight, product of:
          3.7717297 = idf(docFreq=2765, maxDocs=44218)
          0.033538654 = queryNorm
        0.33337694 = fieldWeight in 1032, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.7717297 = idf(docFreq=2765, maxDocs=44218)
          0.0625 = fieldNorm(doc=1032)
  0.14285715 = coord(1/7)

Zhang, J.; Jastram, I.: ¬A study of the metadata creation behavior of different user groups on the Internet (2006) 0.01

0.005271471 = product of:
  0.036900297 = sum of:
    0.036900297 = weight(_text_:i in 982) [ClassicSimilarity], result of:
      0.036900297 = score(doc=982,freq=2.0), product of:
        0.12649874 = queryWeight, product of:
          3.7717297 = idf(docFreq=2765, maxDocs=44218)
          0.033538654 = queryNorm
        0.29170483 = fieldWeight in 982, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.7717297 = idf(docFreq=2765, maxDocs=44218)
          0.0546875 = fieldNorm(doc=982)
  0.14285715 = coord(1/7)

Zhang, J.; An, L.; Tang, T.; Hong, Y.: Visual health subject directory analysis based on users' traversal activities (2009) 0.00
```
0.004816084 = product of:
  0.03371259 = sum of:
    0.03371259 = weight(_text_:u in 3112) [ClassicSimilarity], result of:
      0.03371259 = score(doc=3112,freq=4.0), product of:
        0.109820455 = queryWeight, product of:
          3.2744443 = idf(docFreq=4547, maxDocs=44218)
          0.033538654 = queryNorm
        0.30697915 = fieldWeight in 3112, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2744443 = idf(docFreq=4547, maxDocs=44218)
          0.046875 = fieldNorm(doc=3112)
  0.14285715 = coord(1/7)
```
Abstract

Concerns about health issues cover a wide spectrum. Consumer health information, which has become more available on the Internet, plays an extremely important role in addressing these concerns. A subject directory as an information organization and browsing mechanism is widely used in consumer health-related Websites. In this study we employed the information visualization technique Self-Organizing Map (SOM) in combination with a new U-matrix algorithm to analyze health subject clusters through a Web transaction log. An experimental study was conducted to test the proposed methods. The findings show that the clusters identified from the same cells based on path-length-1 outperformed both the clusters from the adjacent cells based on path-length-1 and the clusters from the same cells based on path-length-2 in the visual SOM display. The U-matrix method successfully distinguished the irrelevant subjects situated in the adjacent cells with different colors in the SOM display. The findings of this study lead to a better understanding of the health-related subject relationship from the users' traversal perspective.

Wolfram, D.; Wang, P.; Zhang, J.: Identifying Web search session patterns using cluster analysis : a comparison of three search environments (2009) 0.00

0.004106062 = product of:
  0.028742433 = sum of:
    0.028742433 = weight(_text_:p in 2796) [ClassicSimilarity], result of:
      0.028742433 = score(doc=2796,freq=2.0), product of:
        0.12058865 = queryWeight, product of:
          3.5955126 = idf(docFreq=3298, maxDocs=44218)
          0.033538654 = queryNorm
        0.23835106 = fieldWeight in 2796, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.5955126 = idf(docFreq=3298, maxDocs=44218)
          0.046875 = fieldNorm(doc=2796)
  0.14285715 = coord(1/7)

Gao, J.; Zhang, J.: Clustered SVD strategies in latent semantic indexing (2005) 0.00

0.003973067 = product of:
  0.027811468 = sum of:
    0.027811468 = weight(_text_:u in 1166) [ClassicSimilarity], result of:
      0.027811468 = score(doc=1166,freq=2.0), product of:
        0.109820455 = queryWeight, product of:
          3.2744443 = idf(docFreq=4547, maxDocs=44218)
          0.033538654 = queryNorm
        0.25324488 = fieldWeight in 1166, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2744443 = idf(docFreq=4547, maxDocs=44218)
          0.0546875 = fieldNorm(doc=1166)
  0.14285715 = coord(1/7)

Theme: Semantisches Umfeld in Indexierung u. Retrieval

Zhang, J.; Wolfram, D.; Wang, P.; Hong, Y.; Gillis, R.: Visualization of health-subject analysis based on query term co-occurrences (2008) 0.00

0.0034217187 = product of:
  0.02395203 = sum of:
    0.02395203 = weight(_text_:p in 2376) [ClassicSimilarity], result of:
      0.02395203 = score(doc=2376,freq=2.0), product of:
        0.12058865 = queryWeight, product of:
          3.5955126 = idf(docFreq=3298, maxDocs=44218)
          0.033538654 = queryNorm
        0.19862589 = fieldWeight in 2376, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.5955126 = idf(docFreq=3298, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2376)
  0.14285715 = coord(1/7)

Zhang, J.; Wolfram, D.; Wang, P.: Analysis of query keywords of sports-related queries using visualization and clustering (2009) 0.00

0.0034217187 = product of:
  0.02395203 = sum of:
    0.02395203 = weight(_text_:p in 2947) [ClassicSimilarity], result of:
      0.02395203 = score(doc=2947,freq=2.0), product of:
        0.12058865 = queryWeight, product of:
          3.5955126 = idf(docFreq=3298, maxDocs=44218)
          0.033538654 = queryNorm
        0.19862589 = fieldWeight in 2947, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.5955126 = idf(docFreq=3298, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2947)
  0.14285715 = coord(1/7)

Liu, X.; Zhang, J.; Guo, C.: Full-text citation analysis : a new method to enhance scholarly networks (2013) 0.00
```
0.0034217187 = product of:
  0.02395203 = sum of:
    0.02395203 = weight(_text_:p in 1044) [ClassicSimilarity], result of:
      0.02395203 = score(doc=1044,freq=2.0), product of:
        0.12058865 = queryWeight, product of:
          3.5955126 = idf(docFreq=3298, maxDocs=44218)
          0.033538654 = queryNorm
        0.19862589 = fieldWeight in 1044, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.5955126 = idf(docFreq=3298, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1044)
  0.14285715 = coord(1/7)
```
Abstract

In this article, we use innovative full-text citation analysis along with supervised topic modeling and network-analysis algorithms to enhance classical bibliometric analysis and publication/author/venue ranking. By utilizing citation contexts extracted from a large number of full-text publications, each citation or publication is represented by a probability distribution over a set of predefined topics, where each topic is labeled by an author-contributed keyword. We then used publication/citation topic distribution to generate a citation graph with vertex prior and edge transitioning probability distributions. The publication importance score for each given topic is calculated by PageRank with edge and vertex prior distributions. To evaluate this work, we sampled 104 topics (labeled with keywords) in review papers. The cited publications of each review paper are assumed to be "important publications" for the target topic (keyword), and we use these cited publications to validate our topic-ranking result and to compare different publication-ranking lists. Evaluation results show that full-text citation and publication content prior topic distribution, along with the classical PageRank algorithm can significantly enhance bibliometric analysis and scientific publication ranking performance, comparing with term frequency-inverted document frequency (tf-idf), language model, BM25, PageRank, and PageRank + language model (p < .001), for academic information retrieval (IR) systems.
An, L.; Zhang, J.; Yu, C.: ¬The visual subject analysis of library and information science journals with self-organizing map (2011) 0.00
```
0.002837905 = product of:
  0.019865334 = sum of:
    0.019865334 = weight(_text_:u in 4613) [ClassicSimilarity], result of:
      0.019865334 = score(doc=4613,freq=2.0), product of:
        0.109820455 = queryWeight, product of:
          3.2744443 = idf(docFreq=4547, maxDocs=44218)
          0.033538654 = queryNorm
        0.1808892 = fieldWeight in 4613, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2744443 = idf(docFreq=4547, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4613)
  0.14285715 = coord(1/7)
```
Abstract

Academic journals play an important role in scientific communication. The effective organization of journals can help reveal the thematic contents of journals and thus make them more user-friendly. In this study, the Self-Organizing Map (SOM) technique was employed to visually analyze the 60 library and information science-related journals published from 2006 to 2008. The U-matrix by Ultsch (2003) was applied to categorize the journals into 19 clusters according to their subjects. Four journals were recommended to supplement library collections although they were not indexed by SCI/SSCI. A novel SOM display named Attribute Accumulation Matrix (AA-matrix) was proposed, and the results from this method show that they correlate significantly with the total occurrences of the subjects in the investigated journals. The AA-matrix was employed to identify the 86 salient subjects, which could be manually classified into 7 meaningful groups. A method of the Salient Attribute Projection was constructed to label the attribute characteristics of different clusters. Finally, the subject characteristics of the journals with high impact factors (IFs) were also addressed. The findings of this study can lead to a better understanding of the subject structure and characteristics of library/information-related journals.

Zhang, J.; Zeng, M.L.: ¬A new similarity measure for subject hierarchical structures (2014) 0.00

0.0016228661 = product of:
  0.011360062 = sum of:
    0.011360062 = product of:
      0.022720125 = sum of:
        0.022720125 = weight(_text_:22 in 1778) [ClassicSimilarity], result of:
          0.022720125 = score(doc=1778,freq=2.0), product of:
            0.11744665 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.033538654 = queryNorm
            0.19345059 = fieldWeight in 1778, 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=1778)
      0.5 = coord(1/2)
  0.14285715 = coord(1/7)

Date: 8. 4.2015 16:22:13

Zhang, J.; Mostafa, J.; Tripathy, H.: Information retrieval by semantic analysis and visualization of the concept space of D-Lib® magazine (2002) 0.00

0.0014189525 = product of:
  0.009932667 = sum of:
    0.009932667 = weight(_text_:u in 1211) [ClassicSimilarity], result of:
      0.009932667 = score(doc=1211,freq=2.0), product of:
        0.109820455 = queryWeight, product of:
          3.2744443 = idf(docFreq=4547, maxDocs=44218)
          0.033538654 = queryNorm
        0.0904446 = fieldWeight in 1211, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2744443 = idf(docFreq=4547, maxDocs=44218)
          0.01953125 = fieldNorm(doc=1211)
  0.14285715 = coord(1/7)

Theme: Semantisches Umfeld in Indexierung u. Retrieval

Search (11 results, page 1 of 1)

Authors

Years

Types

Themes