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:
May. 12, 2020

Filed:

Jun. 16, 2016
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Saliha Azzam, Redmond, WA (US);

Steven Paul Breyer, Medina, WA (US);

Eeshan Manish Shah, Redmond, WA (US);

Youssef El Fassy Fihry, Redmond, WA (US);

Ankur Satyendrakumar Sharma, Redmond, WA (US);

Manal Hussein Alassaf, Redmond, WA (US);

Xiang He, Bothell, WA (US);

Vikram Rajasekaran, Seattle, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/2457 (2019.01); G06F 16/248 (2019.01); G06F 16/242 (2019.01);
U.S. Cl.
CPC ...
G06F 16/24578 (2019.01); G06F 16/248 (2019.01); G06F 16/2425 (2019.01); G06F 16/2457 (2019.01);
Abstract

Aspects extend to methods, systems, and computer program products for ranking contextual metadata to generate relevant data insights. Aspects of the invention can be used to enhance data analytics by automatically deriving relevance signals used to generate insights closely related to the context in which a user is exploring or analyzing data. User experiences can include embedded data visualizations, search engines, and natural language querying systems to help users understand their data more effectively. By utilizing metrics on the relevance information, insights related and/or relevant to the context in which the user is analyzing data can be created. Thus, relevance information can define a scope for a variety of automatically generated insights of data. Insight generation can be based on computed relevance signals that target areas interesting to users.


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