The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 13, 2012

Filed:

Dec. 29, 2008
Applicants:

Ron Karidi, Herzeliya, IL;

Roy Varshavsky, Tel Aviv, IL;

Noga Amit, Tel Aviv, IL;

Oded Elyada, Tel Aviv, IL;

Daniel Sitton, Tel Aviv, IL;

Limor Lahiani, Tel Aviv, IL;

Hen Fitoussi, Tel Aviv, IL;

Eran Yariv, Zichron, IL;

Benny Schlesinger, Ramat Hasharon, IL;

Inventors:

Ron Karidi, Herzeliya, IL;

Roy Varshavsky, Tel Aviv, IL;

Noga Amit, Tel Aviv, IL;

Oded Elyada, Tel Aviv, IL;

Daniel Sitton, Tel Aviv, IL;

Limor Lahiani, Tel Aviv, IL;

Hen Fitoussi, Tel Aviv, IL;

Eran Yariv, Zichron, IL;

Benny Schlesinger, Ramat Hasharon, IL;

Assignee:

Microsoft Corporation, Redmond, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/30 (2006.01); G06F 7/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

Information is automatically located which is relevant to source content that a user is viewing on a user interface without requiring the user to perform an additional search or navigate links of the source content. The source content can be, e.g., a web page or a document from a word processing or email application. The relevant information can include images, videos, web pages, maps or other location-based information, people-based information and special services which aggregate different types of information. Related content is located by analyzing textual content, user behavior and connectivity relative to the source. The related content is scored for similarity to the source. Content which is sufficiently similar but not too similar is selected. Similar related content is grouped to select representative results. The selected content is filtering in multiple stages based on attribute priorities to avoid unnecessary processing of content which is filtered out an early stage.


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