18100498. ADDING MACHINE UNDERSTANDING ON SPREADSHEETS DATA simplified abstract (GOOGLE LLC)

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ADDING MACHINE UNDERSTANDING ON SPREADSHEETS DATA

Organization Name

GOOGLE LLC

Inventor(s)

Weihao Lin of New York NY (US)

Vishnu Sivaji of New York NY (US)

ADDING MACHINE UNDERSTANDING ON SPREADSHEETS DATA - A simplified explanation of the abstract

This abstract first appeared for US patent application 18100498 titled 'ADDING MACHINE UNDERSTANDING ON SPREADSHEETS DATA

Simplified Explanation

The patent application describes a system that generates chart recommendations based on machine understanding of spreadsheet data. Here are the key points:

  • The system includes a memory and a processing device that work together to analyze the content of cells in a spreadsheet.
  • The system adds annotations to the cells, which represent the semantic meaning of the data in each cell.
  • Based on these annotations, the system determines the semantic meaning of the data in the entire column.
  • The system then identifies relevant charts based on the semantic meaning of the column, characteristics of the user device, or characteristics of the user class.
  • Finally, the system provides the identified chart to the user for presentation.

Potential applications of this technology:

  • Data analysis and visualization tools
  • Business intelligence software
  • Financial reporting and analysis tools
  • Data-driven decision-making platforms

Problems solved by this technology:

  • Manual selection of appropriate charts for data visualization can be time-consuming and error-prone.
  • Users may not have the expertise to choose the most suitable chart for their data.
  • Automated chart recommendations can help users effectively communicate their data insights.

Benefits of this technology:

  • Saves time and effort by automating the process of chart selection.
  • Improves data visualization by suggesting the most appropriate chart types.
  • Enhances user experience by providing personalized recommendations based on user device and user class characteristics.


Original Abstract Submitted

A system to generate a chart recommendation based on machine understanding of spreadsheet data, including a memory and a processing device coupled to the memory to identify a set of data that each include content of a cell of one or more cells in a column of a spreadsheet presented to a user of a user device; add, to metadata of the cell, an annotation associated with an entity type representing the semantic meaning of the data in the cell; determine, based on the annotation, an entity type representing a semantic meaning of the set of data in the column; identify at least one of a plurality of charts that is relevant to at least one of the entity type associated with the column, a user device characteristic associated with the user device, or a user class characteristic; and provide the identified chart for presentation to the user.

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