Generating snippets based on content features

US8788260B2 · kind B2 · utility

Assignee

• Microsoft Corporation · US

Inventors

• Valerie Nygaard · Saratoga, US
• Riccardo Turchetto · San Francisco, US
• Joanna Mun Yee Chan · Redwood City, US
• Christian Biemann · San Francisco, US
• David Ahn · San Francisco, US
• Andrea Burbank · Chicago, US
• FENG PAN · Foster City, US
• Timothy M. Converse · San Francisco, US
• James Michael Reinhold · Berkeley, US
• Tracy Holloway King · Mountain View, US

Key dates

• Filing date: May 11, 2010
• Grant date: Jul 22, 2014
• Expiry date: Dec 28, 2030

Classification

• Technology area (CPC G): Physics
• CPC primary: G06F16/345
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Systems, methods, and computer storage media having computer-executable instructions embodied thereon that facilitate generation of snippets. In embodiments, text features within a keyword-sentence window are identified. The text features are utilized to determine break features that indicate favorability of breaking at a particular location of the keyword-sentence window. The break features are used to recognize features of partial snippets such that a snippet score to indicate the strength of the partial snippet can be calculated. Snippet scores associated with partial snippets are compared to select an optimal snippet, that is, the snippet having the highest snippet score.