Microsoft Technology Licensing, LLC

Eeshan Manish Shah

Saliha Azzam

Steven Paul Breyer

Ankur Satyendrakumar Sharma

Xiang He

Youssef El Fassy Fihry

Manal Hussein Alassaf

Vikram Rajasekaran

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.

Ranking contextual metadata to generate relevant data insights

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Redmond, WA, United States of America

Eeshan Manish Shah