18378080. GENERATING AND/OR PRIORITIZING PRE-CALL CONTENT FOR RENDERING WHEN AWAITING ACCEPTANCE OF AN INCOMING CALL simplified abstract (GOOGLE LLC)

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GENERATING AND/OR PRIORITIZING PRE-CALL CONTENT FOR RENDERING WHEN AWAITING ACCEPTANCE OF AN INCOMING CALL

Organization Name

GOOGLE LLC

Inventor(s)

Sandro Feuz of Zurich (CH)

Thomas Deselaers of Zurich (CH)

GENERATING AND/OR PRIORITIZING PRE-CALL CONTENT FOR RENDERING WHEN AWAITING ACCEPTANCE OF AN INCOMING CALL - A simplified explanation of the abstract

This abstract first appeared for US patent application 18378080 titled 'GENERATING AND/OR PRIORITIZING PRE-CALL CONTENT FOR RENDERING WHEN AWAITING ACCEPTANCE OF AN INCOMING CALL

Simplified Explanation

The patent application relates to generating a pre-call analysis for users who are receiving or initializing a call with other users, and prioritizing pre-call content based on security-related value. Machine learning models are used to determine the pre-call content to be cached and presented before a user accepts a call. Feedback provided before, during, and after the call is used to prioritize certain content and sources for subsequent calls. Contextual data from previous and subsequent calls can also be used to provide a pre-call analysis.

  • Machine learning models are used to determine pre-call content for users before accepting a call.
  • Feedback provided before, during, and after the call is used to prioritize content for subsequent calls.
  • Contextual data from previous and subsequent calls is used to provide a pre-call analysis.

Potential applications of this technology:

  • Enhancing call experiences by providing relevant pre-call content.
  • Improving security by prioritizing content based on security-related value.
  • Personalizing call experiences based on user preferences and feedback.

Problems solved by this technology:

  • Lack of relevant pre-call content for users.
  • Difficulty in prioritizing content based on security-related value.
  • Inefficient use of contextual data for providing pre-call analysis.

Benefits of this technology:

  • Improved user experience with personalized and relevant pre-call content.
  • Enhanced security by prioritizing security-related content.
  • Efficient use of contextual data for providing valuable pre-call analysis.


Original Abstract Submitted

Implementations set forth herein relate to generating a pre-call analysis for one or more users that are receiving and/or initializing a call with one or more other users, and/or prioritizing pre-call content according to whether security-related value was gleaned from provisioning certain pre-call content. One or more machine learning models can be employed for determining the pre-call content to be cached and/or presented prior to a user accepting a call from another user. Feedback provided before, during, and/or after the call can be used as a basis from which to prioritize certain content and/or sources of content when generating pre-call content for a subsequent call. Other information, such as contextual data (e.g., calendar entries, available peripheral devices, location, etc.) corresponding to the previous call and/or the subsequent call, can also be used as a basis from which to provide a pre-call analysis.

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