Search query and document-related data translation
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.
Microsoft Technology Licensing, LLC
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G06Q G06F G06Q
inventional inventional inventional
William B. Jianfeng Xuedong Christopher John Mei Zhenghao
Dolan Gao Huang Brockett Li Wang