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 <title type="text">SHRIPHANI PALAKODETY: Posts tagged 'information-retrieval'</title>
 <link rel="self" href="http://blog.shriphani.com/feeds/information-retrieval.atom.xml" />
 <link href="http://blog.shriphani.com/tags/information-retrieval.html" />
 <id>urn:http-blog-shriphani-com:-tags-information-retrieval-html</id>
 <updated>2014-05-08T02:29:01Z</updated>
 <entry>
  <title type="text">Diagnosis by Google Doesn't Work</title>
  <link rel="alternate" href="http://blog.shriphani.com/2014/05/07/diagnosis-by-google-doesn-t-work/?utm_source=information-retrieval&amp;utm_medium=Atom" />
  <id>urn:http-blog-shriphani-com:-2014-05-07-diagnosis-by-google-doesn-t-work</id>
  <published>2014-05-08T02:29:01Z</published>
  <updated>2014-05-08T02:29:01Z</updated>
  <author>
   <name>SHRIPHANI PALAKODETY</name></author>
  <content type="html">&lt;html&gt;
&lt;p&gt;I have often Googled for symptoms, visited WebMD (and concluded that I have a deadly disease). At SIGIR 2013, Ryen White&amp;rsquo;s paper, &lt;a href="http://research.microsoft.com/en-us/um/people/ryenw/papers/WhiteSIGIR2013.pdf"&gt;Beliefs and Biases in IR&lt;/a&gt;, provided empirical evidence for the poor success-rate of diagnosis-by-google.&lt;/p&gt;

&lt;p&gt;The authors mined medical yes/no questions (For example: Can salmonella cause belly-ache), had physicians answer these questions, and then measured user bias post-search (i.e. the users after perusing the results answer their original questions with yes/no) (the paper contains a very detailed description of the experiments conducted).&lt;/p&gt;

&lt;p&gt;The accuracy of the final answer was the most interesting part of this paper - &lt;strong&gt;only about half of the questions were accurately answered. That is as good as flipping a (fair) coin for each question&lt;/strong&gt;. The rest of the paper was a fairly interesting read (and it won the SIGIR 2013 best paper award).&lt;/p&gt;&lt;/html&gt;</content></entry></feed>