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  <entry>
    <title>Jobviz</title>
    <dcterms:bibliographicCitation><![CDATA[Takle, Jay. &lt;strong&gt;Jobviz. &lt;/strong&gt; Retrieved from &lt;a target="_blank" href="https://doi.org/doi:10.7282/T34M96DT"&gt;https://doi.org/doi:10.7282/T34M96DT&lt;/a&gt;]]></dcterms:bibliographicCitation>
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    <id>https://doi.org/doi:10.7282/T34M96DT</id>
    <author>
      <name>Takle, Jay</name>
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    <published>2018-05-07T20:15:00-04:00</published>
    <summary>Job posting web sites are the most common way that students and professionals search for employment.  All of the job searching tools operate in a similar way, users filter the postings through the use of keywords. Postings matching the keywords are displayed as a list and the user is required to read through this list one by one. However, there are many other ways to display text-based data. In this thesis, we explore the use of other types of information visualization techniques that would be appropriate for this type of data. We have developed a new visualization especially for student-based job searches and have applied our results to data from the Rutgers Career Knight Portal.</summary>
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