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  <h2>Datasets</h2>

  Experimental results for some example datasets.
  The given hyperparameters may not be the optimal ones.
  
  <!--
  <a href="http://www.netflixprize.com/"><h3>Netflix</h3></a>
  <p>
    Results on the <it>probe</it> dataset:
    <table border="1">
      <tr> <th>Method</th> <th><tt>--recommender-options</tt></th> <th>AUC</th> <th>prec@5</th> <th>prec@10</th> <th>MAP</th> <th>recall@5</th> <th>recall@10</th> <th>NDCG</th> <th>mrr</th> </tr>
      [% FOREACH entry IN netflix_data %]
        <tr> <td>[% entry.method %]</td> <td><tt>[% entry.hp %]</tt></td> <td>[% entry.rmse %]</td> <td>[% entry.mae %]</td> </tr>
      [% END %]
    </table>
  </p>
  -->
  
  <a href="http://www.grouplens.org/node/73"><h3>MovieLens 1M</h3></a>
  <p>
    5-fold crossvalidation with <tt>--random-seed=1</tt>  
    <table border="1">
      <tr> <th>Method</th> <th><tt>--recommender-options</tt></th> <th>AUC</th> <th>prec@5</th> <th>prec@10</th> <th>MAP</th> <th>recall@5</th> <th>recall@10</th> <th>NDCG</th> <th>mrr</th> </tr>
      [% FOREACH entry IN ml1m_data %]
        <tr> <td>[% entry.method %]</td> <td><tt>[% entry.hp %]</tt></td> <td>[% entry.rmse %]</td> <td>[% entry.mae %]</td> </tr>
      [% END %]
    </table>
  </p>

  <h3>MovieLens 100k</h3>
  <p>
    5-fold crossvalidation with <tt>--random-seed=1</tt>
    <table border="1">
      <tr> <th>Method</th> <th><tt>--recommender-options</tt></th> <th>AUC</th> <th>prec@5</th> <th>prec@10</th> <th>MAP</th> <th>recall@5</th> <th>recall@10</th> <th>NDCG</th> <th>mrr</th> </tr>
      [% FOREACH entry IN ml100k %]
      <tr> <td>[% entry.method %]</td> <td><tt>[% entry.hp %]</tt></td> <td>[% entry.AUC %]</td> <td>[% entry.prec5 %]</td> </tr>
      [% END %]
    </table>
  </p>

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