Relevance Feedback by Exploring the Different Feedback Sources and Collection Structure

نویسندگان

  • Junlin Zhang
  • Le Sun
  • Yuanhua Lv
  • Wei Zhang
چکیده

In HARD track of HARD 2005, we classify the 50 queries into 7 categories and make use of 3 kinds of feedback sources in various tasks. We find that the different kinds of queries perform differently in feedback tasks and the “CASE “ and “EVENT” queries are more sensitive to the feedback source. We also explore the internal structure of corpus and try to estimate the distribution of relevant documents within sub-collections. The experiments show that this technology is partly effective and the main existing problem is how to predict the distribution more precisely.

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تاریخ انتشار 2005