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You et al. BMC Bioinformatics 2010, 11(Suppl 2):S6 http://www.biomedcentral.com/1471-2105/11/S2/S6 PROCEEDINGS Open Access Enabling multi-level relevance feedback on Dubbed by integrating rank learning
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Enabling multi-level relevance feedback is a method that allows users to provide feedback on the relevance of search results at different levels, such as document level or query level.
There is no specific requirement for filing enabling multi-level relevance feedback. It is more of a feature or option available to users of a search system.
The process of filling out enabling multi-level relevance feedback depends on the specific search system or tool being used. Generally, it involves selecting the relevant search result and providing feedback on its relevance.
The purpose of enabling multi-level relevance feedback is to improve the accuracy and effectiveness of search results by allowing users to provide feedback on their relevance. This feedback can be used to refine the search algorithm and improve future search queries.
The information reported on enabling multi-level relevance feedback typically includes the specific search query, the selected search result, and the user's feedback on its relevance.
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