Search (9 results, page 1 of 1)

Kwon, O.W.; Lee, J.H.: Text categorization based on k-nearest neighbor approach for web site classification (2003) 0.05
```
0.054969758 = product of:
  0.109939516 = sum of:
    0.10035812 = weight(_text_:markup in 1070) [ClassicSimilarity], result of:
      0.10035812 = score(doc=1070,freq=2.0), product of:
        0.27638784 = queryWeight, product of:
          6.572923 = idf(docFreq=167, maxDocs=44218)
          0.042049456 = queryNorm
        0.36310613 = fieldWeight in 1070, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          6.572923 = idf(docFreq=167, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1070)
    0.009581393 = product of:
      0.028744178 = sum of:
        0.028744178 = weight(_text_:29 in 1070) [ClassicSimilarity], result of:
          0.028744178 = score(doc=1070,freq=2.0), product of:
            0.14791684 = queryWeight, product of:
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.042049456 = queryNorm
            0.19432661 = fieldWeight in 1070, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1070)
      0.33333334 = coord(1/3)
  0.5 = coord(2/4)
```
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.

Date

27.12.2007 17:32:29
Lee, J.H.: Analysis of user needs and information features in natural language queries seeking music information (2010) 0.00
```
0.004213768 = product of:
  0.016855072 = sum of:
    0.016855072 = product of:
      0.050565217 = sum of:
        0.050565217 = weight(_text_:language in 3454) [ClassicSimilarity], result of:
          0.050565217 = score(doc=3454,freq=4.0), product of:
            0.16497234 = queryWeight, product of:
              3.9232929 = idf(docFreq=2376, maxDocs=44218)
              0.042049456 = queryNorm
            0.30650726 = fieldWeight in 3454, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.9232929 = idf(docFreq=2376, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3454)
      0.33333334 = coord(1/3)
  0.25 = coord(1/4)
```
Abstract

Our limited understanding of real-life queries is an obstacle in developing music information retrieval (MIR) systems that meet the needs of real users. This study aimed, by an empirical investigation of real-life queries, to contribute to developing a theorized understanding of how users seek music information. This is crucial for informing the design of future MIR systems, especially the selection of potential access points, as well as establishing a set of test queries that reflect real-life music information-seeking behavior. Natural language music queries were collected from an online reference Website and coded using content analysis. A taxonomy of user needs expressed and information features used in queries were established by an iterative coding process. This study found that most of the queries analyzed were known-item searches, and most contained a wide variety of kinds of information, although a few features were used much more heavily than the others. In addition to advancing our understanding of real-life user queries by establishing an improved taxonomy of needs and features, three recommendations were made for improving the evaluation of MIR systems: (i) incorporating user context in test queries, (ii) employing terms familiar to users in evaluation tasks, and (iii) combining multiple task results.
Cho, H.; Disher, T.; Lee, W.-C.; Keating, S.A.; Lee, J.H.: Facet analysis of anime genres : the challenges of defining genre information for popular cultural objects (2018) 0.00
```
0.0035755006 = product of:
  0.014302002 = sum of:
    0.014302002 = product of:
      0.042906005 = sum of:
        0.042906005 = weight(_text_:language in 4535) [ClassicSimilarity], result of:
          0.042906005 = score(doc=4535,freq=2.0), product of:
            0.16497234 = queryWeight, product of:
              3.9232929 = idf(docFreq=2376, maxDocs=44218)
              0.042049456 = queryNorm
            0.26008 = fieldWeight in 4535, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.9232929 = idf(docFreq=2376, maxDocs=44218)
              0.046875 = fieldNorm(doc=4535)
      0.33333334 = coord(1/3)
  0.25 = coord(1/4)
```
Abstract

Anime, as a growing form of multimedia, needs a better and more thorough organization for its myriad unique terminologies. Existing studies show patrons' desire to search and get recommendations for anime. However, due to inadequate indexing and often confusing or inaccurate usage of terms, searching and acquiring recommendations remain challenging. Our research seeks to close the gap and make discovery and recommendations more viable. In this study, we conducted a facet analysis of anime genre terms that are currently used in thirty-six anime-related English-language databases and websites. Using a card sorting method with an inductive approach to the 1,597 terms collected, we identified and defined nine facets and 153 foci terms that describe different genres of anime. Identified terms can be implemented within different organizational systems including library catalogs, recommendation systems, and online databases to improve genre definitions and search experiences.
Cho, H.; Disher, T.; Lee, W.-C.; Keating, S.A.; Lee, J.H.: Facet analysis of anime genres : the challenges of defining genre information for popular cultural objects (2020) 0.00
```
0.0035755006 = product of:
  0.014302002 = sum of:
    0.014302002 = product of:
      0.042906005 = sum of:
        0.042906005 = weight(_text_:language in 5730) [ClassicSimilarity], result of:
          0.042906005 = score(doc=5730,freq=2.0), product of:
            0.16497234 = queryWeight, product of:
              3.9232929 = idf(docFreq=2376, maxDocs=44218)
              0.042049456 = queryNorm
            0.26008 = fieldWeight in 5730, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.9232929 = idf(docFreq=2376, maxDocs=44218)
              0.046875 = fieldNorm(doc=5730)
      0.33333334 = coord(1/3)
  0.25 = coord(1/4)
```
Abstract

Anime, as a growing form of multimedia, needs a better and more thorough organization for its myriad unique terminologies. Existing studies show patrons' desire to search and get recommendations for anime. However, due to inadequate indexing and often confusing or inaccurate usage of terms, searching and acquiring recommendations remain challenging. Our research seeks to close the gap and make discovery and recommendations more viable. In this study, we conducted a facet analysis of anime genre terms that are currently used in thirty-six anime-related English-language databases and websites. Using a card sorting method with an inductive approach to the 1,597 terms collected, we identified and defined nine facets and 153 foci terms that describe different genres of anime. Identified terms can be implemented within different organizational systems including library catalogs, recommendation systems, and online databases to improve genre definitions and search experiences.
Branch, F.; Arias, T.; Kennah, J.; Phillips, R.; Windleharth, T.; Lee, J.H.: Representing transmedia fictional worlds through ontology (2017) 0.00
```
0.002979584 = product of:
  0.011918336 = sum of:
    0.011918336 = product of:
      0.03575501 = sum of:
        0.03575501 = weight(_text_:language in 3958) [ClassicSimilarity], result of:
          0.03575501 = score(doc=3958,freq=2.0), product of:
            0.16497234 = queryWeight, product of:
              3.9232929 = idf(docFreq=2376, maxDocs=44218)
              0.042049456 = queryNorm
            0.21673335 = fieldWeight in 3958, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.9232929 = idf(docFreq=2376, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3958)
      0.33333334 = coord(1/3)
  0.25 = coord(1/4)
```
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.

Yip, J.C.; Lee, K.J.; Lee, J.H.: Design partnerships for participatory librarianship : a conceptual model for understanding librarians co designing with digital youth (2020) 0.00

0.0023953482 = product of:
  0.009581393 = sum of:
    0.009581393 = product of:
      0.028744178 = sum of:
        0.028744178 = weight(_text_:29 in 5967) [ClassicSimilarity], result of:
          0.028744178 = score(doc=5967,freq=2.0), product of:
            0.14791684 = queryWeight, product of:
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.042049456 = queryNorm
            0.19432661 = fieldWeight in 5967, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5967)
      0.33333334 = coord(1/3)
  0.25 = coord(1/4)

Date: 12. 9.2020 19:29:20

Lee, J.H.; Price, R.: User experience with commercial music services : an empirical exploration (2016) 0.00

0.0023738004 = product of:
  0.0094952015 = sum of:
    0.0094952015 = product of:
      0.028485604 = sum of:
        0.028485604 = weight(_text_:22 in 2845) [ClassicSimilarity], result of:
          0.028485604 = score(doc=2845,freq=2.0), product of:
            0.14725003 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.042049456 = 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)
      0.33333334 = coord(1/3)
  0.25 = coord(1/4)

Date: 17. 3.2016 19:22:15

Cho, H.; Donovan, A.; Lee, J.H.: Art in an algorithm : a taxonomy for describing video game visual styles (2018) 0.00
```
0.0023738004 = product of:
  0.0094952015 = sum of:
    0.0094952015 = product of:
      0.028485604 = sum of:
        0.028485604 = weight(_text_:22 in 4218) [ClassicSimilarity], result of:
          0.028485604 = score(doc=4218,freq=2.0), product of:
            0.14725003 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.042049456 = 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)
      0.33333334 = coord(1/3)
  0.25 = coord(1/4)
```
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.

Park, M.S.; Park, J.H.; Kim, H.; Lee, J.H.; Park, H.: Measuring the impacts of quantity and trustworthiness of information on COVID-19 vaccination intent (2023) 0.00

0.0023738004 = product of:
  0.0094952015 = sum of:
    0.0094952015 = product of:
      0.028485604 = sum of:
        0.028485604 = weight(_text_:22 in 996) [ClassicSimilarity], result of:
          0.028485604 = score(doc=996,freq=2.0), product of:
            0.14725003 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.042049456 = 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)
      0.33333334 = coord(1/3)
  0.25 = coord(1/4)

Date: 22. 6.2023 18:20:47

Search (9 results, page 1 of 1)

Authors

Years

Themes