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<Paper uid="N04-4024">
  <Title>Direct Maximization of Average Precision by Hill-Climbing, with a Comparison to a Maximum Entropy Approach</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> We describe an algorithm for choosing term weights to maximize average precision. The algorithm performs successive exhaustive searches through single directions in weight space. It makes use of a novel technique for considering all possible values of average precision that arise in searching for a maximum in a given direction. We apply the algorithm and compare this algorithm to a maximum entropy approach.</Paragraph>
  </Section>
class="xml-element"></Paper>