Ranking contextual metadata to generate relevant data insights

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 byautomatically deriving relevance signals used to generate insights closely related to the context in...

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Bibliographische Detailangaben
Hauptverfasser: AZZAM SALIHA, BREYER STEVEN PAUL, RAJASEKARAN VIKRAM, ALASSAF MANAL HUSSEIN, SHAH EESHAN MANISH, HE XIANG, SHARMA ANKUR SATYENDRAKUMAR, EL FASSY FIHRY YOUSSEF
Format: Patent
Sprache:chi ; eng
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Zusammenfassung: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 byautomatically 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 tothe 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. 各方面扩展到用于对上下文元数据进行排名以生成相关数据见解的方法、系统、以及计算机程序产品。通过自动地得出用于生成见解的相关性信号,该见解与用户在其中探索或分析数据的上下文紧密相关,本发明的各方面可以被用于增强数据分析。用户体验可以包括嵌入式数据可视化、搜索引擎和自然语言查询系统,以帮助用户更高效地理解他们的