Search query and document-related data translation
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United States of America Patent
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Nov 22, 2016
Grant Date -
Apr 25, 2013
app pub date -
Dec 16, 2011
filing date -
Oct 25, 2011
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Abstract
The subject disclosure is directed towards developing a translation model for mapping search query terms to document-related data. By processing user logs comprising search histories into word-aligned query-document pairs, the translation model may be trained using data, such as probabilities, corresponding to the word-aligned query-document pairs. After incorporating the translation model into model data for a search engine, the translation model is used may used as features for producing relevance scores for current search queries and ranking documents/advertisements according to relevance.
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