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<Paper uid="W03-1103">
  <Title>An Approach for Combining Content-based and Collaborative Filters</Title>
  <Section position="6" start_page="0" end_page="0" type="concl">
    <SectionTitle>
5 Conclusions
</SectionTitle>
    <Paragraph position="0"> We apply clustering technique to the item content information to complement the user rating information, which improves the correctness of collaborative similarity, and solves the cold start problem. Our work indicates that the correct application of the item information can improve the recommendation performance.</Paragraph>
  </Section>
class="xml-element"></Paper>