Search (6 results, page 1 of 1)

0.0037225473 = product of:
  0.033502925 = sum of:
    0.033502925 = product of:
      0.06700585 = sum of:
        0.06700585 = weight(_text_:web in 1070) [ClassicSimilarity], result of:
          0.06700585 = score(doc=1070,freq=30.0), product of:
            0.09596372 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.02940506 = queryNorm
            0.69824153 = fieldWeight in 1070, product of:
              5.477226 = tf(freq=30.0), with freq of:
                30.0 = termFreq=30.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1070)
      0.5 = coord(1/2)
  0.11111111 = coord(1/9)

Abstract

Automatic categorization is a viable method to deal with the scaling problem on the World Wide Web. For Web site classification, this paper proposes the use of Web pages linked with the home page in a different manner from the sole use of home pages in previous research. To implement our proposed method, we derive a scheme for Web site classification based on the k-nearest neighbor (k-NN) approach. It consists of three phases: Web page selection (connectivity analysis), Web page classification, and Web site classification. Given a Web site, the Web page selection chooses several representative Web pages using connectivity analysis. The k-NN classifier next classifies each of the selected Web pages. Finally, the classified Web pages are extended to a classification of the entire Web site. To improve performance, we supplement the k-NN approach with a feature selection method and a term weighting scheme using markup tags, and also reform its document-document similarity measure. In our experiments on a Korean commercial Web directory, the proposed system, using both a home page and its linked pages, improved the performance of micro-averaging breakeven point by 30.02%, compared with an ordinary classification which uses a home page only.

0.001106661 = product of:
  0.009959949 = sum of:
    0.009959949 = product of:
      0.019919898 = sum of:
        0.019919898 = weight(_text_:22 in 2845) [ClassicSimilarity], result of:
          0.019919898 = score(doc=2845,freq=2.0), product of:
            0.10297151 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.02940506 = queryNorm
            0.19345059 = fieldWeight in 2845, 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=2845)
      0.5 = coord(1/2)
  0.11111111 = coord(1/9)

Date

17. 3.2016 19:22:15

0.001106661 = product of:
  0.009959949 = sum of:
    0.009959949 = product of:
      0.019919898 = sum of:
        0.019919898 = weight(_text_:22 in 4218) [ClassicSimilarity], result of:
          0.019919898 = score(doc=4218,freq=2.0), product of:
            0.10297151 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.02940506 = queryNorm
            0.19345059 = fieldWeight in 4218, 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=4218)
      0.5 = coord(1/2)
  0.11111111 = coord(1/9)

Abstract

The discovery and retrieval of video games in library and information systems is, by and large, dependent on a limited set of descriptive metadata. Noticeably missing from this metadata are classifications of visual style-despite the overwhelmingly visual nature of most video games and the interest in visual style among video game users. One explanation for this paucity is the difficulty in eliciting consistent judgements about visual style, likely due to subjective interpretations of terminology and a lack of demonstrable testing for coinciding judgements. This study presents a taxonomy of video game visual styles constructed from the findings of a 22-participant cataloging user study of visual styles. A detailed description of the study, and its value and shortcomings, are presented along with reflections about the challenges of cultivating consensus about visual style in video games. The high degree of overall agreement in the user study demonstrates the potential value of a descriptor like visual style and the use of a cataloging study in developing visual style taxonomies. The resulting visual style taxonomy, the methods and analysis described herein may help improve the organization and retrieval of video games and possibly other visual materials like graphic designs, illustrations, and animations.

0.001106661 = product of:
  0.009959949 = sum of:
    0.009959949 = product of:
      0.019919898 = sum of:
        0.019919898 = weight(_text_:22 in 996) [ClassicSimilarity], result of:
          0.019919898 = score(doc=996,freq=2.0), product of:
            0.10297151 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.02940506 = queryNorm
            0.19345059 = fieldWeight in 996, 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=996)
      0.5 = coord(1/2)
  0.11111111 = coord(1/9)

Date

22. 6.2023 18:20:47

9.611576E-4 = product of:
  0.008650418 = sum of:
    0.008650418 = product of:
      0.017300837 = sum of:
        0.017300837 = weight(_text_:web in 3596) [ClassicSimilarity], result of:
          0.017300837 = score(doc=3596,freq=2.0), product of:
            0.09596372 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.02940506 = queryNorm
            0.18028519 = fieldWeight in 3596, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3596)
      0.5 = coord(1/2)
  0.11111111 = coord(1/9)

Abstract

Recent, rapid changes in technology have resulted in a proliferation of choices for music storage and access. Portable, web-enabled music devices are widespread, and listeners now enjoy a plethora of options regarding formats, devices, and access methods. Yet in this mobile music environment, listeners' access and management strategies for music collections are poorly understood, because behaviors surrounding the organization and retrieval of music collections have received little formal study. Our current research seeks to enrich our knowledge of people's music listening and collecting behavior through a series of systematic user studies. In this paper we present our findings from interviews involving 20 adult and 20 teen users of commercial cloud music services. Our results contribute to theoretical understandings of users' music information behavior in a time of upheaval in music usage patterns, and more generally, the purposes and meanings users ascribe to personal media collections in cloud-based systems. The findings suggest improvements to the future design of cloud-based music services, as well as to any information systems and services designed for personal media collections, benefiting both commercial entities and listeners.

9.611576E-4 = product of:
  0.008650418 = sum of:
    0.008650418 = product of:
      0.017300837 = sum of:
        0.017300837 = weight(_text_:web in 3958) [ClassicSimilarity], result of:
          0.017300837 = score(doc=3958,freq=2.0), product of:
            0.09596372 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.02940506 = queryNorm
            0.18028519 = fieldWeight in 3958, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3958)
      0.5 = coord(1/2)
  0.11111111 = coord(1/9)

Abstract

Currently, there is no structured data standard for representing elements commonly found in transmedia fictional worlds. Although there are websites dedicated to individual universes, the information found on these sites separate out the various formats, concentrate on only the bibliographic aspects of the material, and are only searchable with full text. We have created an ontological model that will allow various user groups interested in transmedia to search for and retrieve the information contained in these worlds based upon their structure. We conducted a domain analysis and user studies based on the contents of Harry Potter, Lord of the Rings, the Marvel Universe, and Star Wars in order to build a new model using Ontology Web Language (OWL) and an artificial intelligence-reasoning engine. This model can infer connections between transmedia properties such as characters, elements of power, items, places, events, and so on. This model will facilitate better search and retrieval of the information contained within these vast story universes for all users interested in them. The result of this project is an OWL ontology reflecting real user needs based upon user research, which is intuitive for users and can be used by artificial intelligence systems.