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<Paper uid="C04-1083">
  <Title>Browsing Help for Faster Document Retrieval</Title>
  <Section position="9" start_page="1" end_page="1" type="concl">
    <SectionTitle>
7 Conclusion
</SectionTitle>
    <Paragraph position="0"> In this paper, several ways to help the user in his/her search are presented. We think that it is now necessary to have such kind of high-level interaction with the user. The evaluations showed that the navigation features provided here can decrease the time spent on a query. Firstly, that is true because the first answer is got more quickly.</Paragraph>
    <Paragraph position="1"> Secondly, even if the total number of relevant documents is not increased, they are retrieved in less time. Thirdly, the concepts and entities filters decrease the number of non-relevant documents the user will read.</Paragraph>
    <Paragraph position="2"> There are some biases in this evaluation. Almost all the users, even if they are not experts in document retrieval, knew the search engine and the features used. Having said, (Bruza et al., 2000) trained their user before the real evaluation. It depends on the targeted users. Furthermore, 6 users and 18 queries do not seem to be enough to evaluate 6 different interfaces. We plan to reproduce this evaluation with more users.</Paragraph>
    <Paragraph position="3"> One of the important points of the features presented in this paper is that most of them are based on linguistic analysis. If the use of linguistic in classical document retrieval is controversial, we think linguistic knowledge and treatments give the easiest way to interact with users.</Paragraph>
  </Section>
class="xml-element"></Paper>