University of Iowa at TREC 2008 Legal and Relevance FeedbackTracks
نویسندگان
چکیده
For the relevance feedback task, our system uses ranking information of relevant and non-relevant documents from previously submitted runs to the TREC Legal Track to train a classifier. The classifier is applied to the remaining unjudged documents to create a new ranked list. This approach is applied to sets of input runs, including a hybrid run where a classifier trained on one set of runs is applied to the unjudged documents from another set of runs.
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تاریخ انتشار 2008