Locating relevant content items across multiple disparate content sources

US9817898B2 · kind B2 · utility

Assignee

• MICROSOFT TECHNOLOGY LICENSING, LLC · US

Inventors

• Bradley Stevenson · Seattle, US
• Adam David Harmetz · Seattle, US
• Quentin Gary Christensen · Redmond, US
• Julian Zbogar Smith · Redmond, US
• Anupama Janardhan · Bellevue, US
• Carlos David Argott Hernandez · Bellevue, US
• Ramanathan Somasundaram · Bothell, US
• Benjamin Joseph Rinaca · Seattle, US
• Fan Mao · Redmond, US
• Graham Lee McMynn · Redmond, US
• Jessica Anne Alspaugh · Seattle, US
• Michal Piaseczny · Bellevue, US
• Tudor Baraboi · Seattle, US
• Ashish Shrikrishna Malgi · Redmond, US
• Thottam R. Sriram · Redmond, US
• Zainal Arifin · Redmond, US
• John D. Fan · Bellevue, US
• Kameshwar Jayaraman · Redmond, US

Key dates

• Filing date: Nov 14, 2011
• Grant date: Nov 14, 2017
• Expiry date: Oct 8, 2034

Classification

• Technology area (CPC G): Physics
• CPC primary: G06F16/951
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Technologies are described herein for locating relevant content items across multiple disparate content sources. Query parameters are received from a user interface for defining a query for searching a number of content sources located on multiple, disparate content servers. A native search is executed on each of the content servers based on the received query parameters, and query statistics and other data regarding content items in the content sources matching the query parameters are received. The query statistics are aggregated across the content servers and presented in the user interface. The presentation of the query statistics may be broken out by each content source, by each query phrase segmented from the query, and the like. In addition, a preview of a number of content items matching the query parameters is presented based on the data received.