Search query and document-related data translation

US9501759B2 · kind B2 · utility

Assignee

• MICROSOFT TECHNOLOGY LICENSING, LLC · US

Inventors

• Jianfeng Gao · Woodinville, US
• Xuedong Huang · Bellevue, US
• Mei Li · 东风镇, CN
• Zhenghao Wang · Redmond, US
• Christopher John Brockett · Bellevue, US
• William B. Dolan · Kirkland, US

Key dates

• Filing date: Dec 16, 2011
• Grant date: Nov 22, 2016
• Expiry date: Mar 5, 2032

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q30/0241
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

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.