Invention Grant
- Patent Title: Ranking contextual metadata to generate relevant data insights
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Application No.: US15184858Application Date: 2016-06-16
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Publication No.: US10650007B2Publication Date: 2020-05-12
- Inventor: Saliha Azzam , Steven Paul Breyer , Eeshan Manish Shah , Youssef El Fassy Fihry , Ankur Satyendrakumar Sharma , Manal Hussein Alassaf , Xiang He , Vikram Rajasekaran
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Fiala & Weaver P.L.L.C.
- Main IPC: G06F16/2457
- IPC: G06F16/2457 ; G06F16/248 ; G06F16/242

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.
Public/Granted literature
- US20170308536A1 RANKING CONTEXTUAL METADATA TO GENERATE RELEVANT DATA INSIGHTS Public/Granted day:2017-10-26
Information query