US Patent Application 18305025. ANALYTICS PERSONALIZATION FRAMEWORK simplified abstract

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ANALYTICS PERSONALIZATION FRAMEWORK

Organization Name

GOOGLE LLC

Inventor(s)

Sundardas Samuel Dorai-raj of San Jose CA (US)

Zilin Du of Mountain View CA (US)

Nina Ning Ye of Sunnyvale CA (US)

Ying Cheng of Sunnyvale CA (US)

Wei Zhang of Redwood City CA (US)

Annissa Al-alusi of Orinda CA (US)

ANALYTICS PERSONALIZATION FRAMEWORK - A simplified explanation of the abstract

This abstract first appeared for US patent application 18305025 titled 'ANALYTICS PERSONALIZATION FRAMEWORK

Simplified Explanation

This patent application describes a method for personalizing an analytics user interface by using machine learning. Here are the key points:

  • The method involves generating training data from user interaction data.
  • The training data is used to train a machine learning model.
  • User interest scores are generated to indicate a user's interest in accessing information related to a UI element.
  • If the user shows interest in a UI element that was not initially included in the UI and has a certain score threshold, the UI is dynamically modified to include that element.
  • The updated UI is presented to the user and further user interactions are monitored.
  • The model is updated based on these interactions, and the updated UI is modified accordingly.


Original Abstract Submitted

Methods, systems, and computer readable medium for personalizing an analytics user interface. The method includes generating a set of training data from received user interaction data, inputting the set of training data to a machine learning model to train the model, generating a set of user interest scores for the particular user that each indicate a user's interest in accessing information corresponding to a UI element of the application, determining, from the user interest scores, that the user is interested in a particular UI element that was not included in the initial UI and has at least a threshold score, dynamically modifying the initial UI to include the particular UI element, presenting the updated UI, monitoring further user interactions, updating the model based on the further user interactions, and modifying the updated UI based on the updated model.

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