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United States of America Patent
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Apr 15, 2014
Grant Date -
Oct 13, 2011
app pub date -
Apr 9, 2010
filing date -
Apr 9, 2010
priority date (Note) -
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Abstract
A web search system uses humans to rank the relevance of results returned for various sample search queries. The search results may be divided into groups allowing training and validation with the ranked results. Consistent guidelines for human evaluation allow consistent results across a number of people performing the ranking. After a machine learning categorization tool, such as MART, has been programmed and validated, it may be used to provide an absolute rank of relevance for documents returned, rather than a simple relative ranking, based, for example, on key word matches and click counts. Documents with lower relevance rankings may be excluded from consideration when developing related refinements, such as category and price sorting.
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