Study of Query Expansion Techniques and Their Application in the Biomedical Information Retrieval

<table class="table-group" id="tab9"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td align="left" rowspan="2">Combinations </td><td align="center" colspan="2">Measures</td></tr><tr class="thead"><td align="center"> MAP </td><td align="center"><i>R</i>-Prec</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left">   Porter stemmer-NLM stopwords   </td><td align="center"> 0.3468  </td><td align="center"> 0.3780  </td></tr><tr><td align="left">   Porter stemmer-SMART stopwords   </td><td align="center"> 0.3391  </td><td align="center"> 0.3731  </td></tr><tr><td align="left">   Krovetz stemmer-NLM stopwords   </td><td align="center"> 0.3475  </td><td align="center"> 0.3834  </td></tr><tr><td align="left">   Krovetz stemmer-SMART stopwords   </td><td align="center"> 0.3435  </td><td align="center"> 0.3790  </td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Evaluation measures using the pseudorelevance feedback in Abstract, Title, and MeSH fields.

The Scientific World Journal

tab9

Table 9

Table 9: Study of Query Expansion Techniques and Their Application in the Biomedical Information Retrieval 