Search (4 results, page 1 of 1)

  • × author_ss:"Liu, Z."
  1. Buckland, M.K.; Liu, Z.: History of information science (1995) 0.01
    0.014089962 = product of:
      0.028179923 = sum of:
        0.028179923 = product of:
          0.056359846 = sum of:
            0.056359846 = weight(_text_:22 in 4226) [ClassicSimilarity], result of:
              0.056359846 = score(doc=4226,freq=2.0), product of:
                0.18208735 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.051997773 = queryNorm
                0.30952093 = fieldWeight in 4226, 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=4226)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Date
    13. 6.1996 19:22:20
  2. Wan, G.; Liu, Z.: Content-based information retrieval and digital libraries (2008) 0.01
    0.013880292 = product of:
      0.027760584 = sum of:
        0.027760584 = product of:
          0.055521168 = sum of:
            0.055521168 = weight(_text_:search in 2267) [ClassicSimilarity], result of:
              0.055521168 = score(doc=2267,freq=2.0), product of:
                0.18072747 = queryWeight, product of:
                  3.475677 = idf(docFreq=3718, maxDocs=44218)
                  0.051997773 = queryNorm
                0.30720934 = fieldWeight in 2267, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.475677 = idf(docFreq=3718, maxDocs=44218)
                  0.0625 = fieldNorm(doc=2267)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    This paper discusses the applications and importance of content-based information retrieval technology in digital libraries. It generalizes the process and analyzes current examples in four areas of the technology. Content-based information retrieval has been shown to be an effective way to search for the type of multimedia documents that are increasingly stored in digital libraries. As a good complement to traditional textbased information retrieval technology, content-based information retrieval will be a significant trend for the development of digital libraries.
  3. Jansen, B.J.; Liu, Z.; Simon, Z.: ¬The effect of ad rank on the performance of keyword advertising campaigns (2013) 0.01
    0.012268561 = product of:
      0.024537122 = sum of:
        0.024537122 = product of:
          0.049074244 = sum of:
            0.049074244 = weight(_text_:search in 1095) [ClassicSimilarity], result of:
              0.049074244 = score(doc=1095,freq=4.0), product of:
                0.18072747 = queryWeight, product of:
                  3.475677 = idf(docFreq=3718, maxDocs=44218)
                  0.051997773 = queryNorm
                0.27153727 = fieldWeight in 1095, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  3.475677 = idf(docFreq=3718, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=1095)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    The goal of this research is to evaluate the effect of ad rank on the performance of keyword advertising campaigns. We examined a large-scale data file comprised of nearly 7,000,000 records spanning 33 consecutive months of a major US retailer's search engine marketing campaign. The theoretical foundation is serial position effect to explain searcher behavior when interacting with ranked ad listings. We control for temporal effects and use one-way analysis of variance (ANOVA) with Tamhane's T2 tests to examine the effect of ad rank on critical keyword advertising metrics, including clicks, cost-per-click, sales revenue, orders, items sold, and advertising return on investment. Our findings show significant ad rank effect on most of those metrics, although less effect on conversion rates. A primacy effect was found on both clicks and sales, indicating a general compelling performance of top-ranked ads listed on the first results page. Conversion rates, on the other hand, follow a relatively stable distribution except for the top 2 ads, which had significantly higher conversion rates. However, examining conversion potential (the effect of both clicks and conversion rate), we show that ad rank has a significant effect on the performance of keyword advertising campaigns. Conversion potential is a more accurate measure of the impact of an ad's position. In fact, the first ad position generates about 80% of the total profits, after controlling for advertising costs. In addition to providing theoretical grounding, the research results reported in this paper are beneficial to companies using search engine marketing as they strive to design more effective advertising campaigns.
  4. Lim, E.-P.; Liu, Z.; Yin, M.; Goh, D.H.-L.; Theng, Y.-L.; Ng, W.K.: On organizing and accessing geospatial and georeferenced Web resources using the G-Portal system (2005) 0.01
    0.008675182 = product of:
      0.017350364 = sum of:
        0.017350364 = product of:
          0.03470073 = sum of:
            0.03470073 = weight(_text_:search in 1049) [ClassicSimilarity], result of:
              0.03470073 = score(doc=1049,freq=2.0), product of:
                0.18072747 = queryWeight, product of:
                  3.475677 = idf(docFreq=3718, maxDocs=44218)
                  0.051997773 = queryNorm
                0.19200584 = fieldWeight in 1049, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.475677 = idf(docFreq=3718, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=1049)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    In order to organise and manage geospatial and georeferenced information on the Web making them convenient for searching and browsing, a digital portal known as G-Portal has been designed and implemented. Compared to other digital libraries, G-Portal is unique for several of its features. It maintains metadata resources in XML with flexible resource schemas. Logical groupings of metadata resources as projects and layers are possible to allow the entire metadata collection to be partitioned differently for users with different information needs. These metadata resources can be displayed in both the classification-based and map-based interfaces provided by G-Portal. G-Portal further incorporates both a query module and an annotation module for users to search metadata and to create additional knowledge for sharing respectively. G-Portal also includes a resource classification module that categorizes resources into one or more hierarchical category trees based on user-defined classification schemas. This paper gives an overview of the G-Portal design and implementation. The portal features will be illustrated using a collection of high school geography examination-related resources.