公开(公告)号：US20200226418A1

公开(公告)日：2020-07-16

申请号：US16245920

申请日：2019-01-11

Applicant: Google LLC

Inventor： Sundardas Samuel Dorai-Raj ,  Zilin Du ,  Nina Ning Ye ,  Ying Chen ,  Wei Zhang ,  Annissa Al-Alusi

IPC: G06K9/62 ,  G06F16/31 ,  H04L29/08 ,  G06N20/00 ,  G06F17/18

Abstract: 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.

公开(公告)号：US20230385171A1

公开(公告)日：2023-11-30

申请号：US18305025

申请日：2023-04-21

Applicant: Google LLC

Inventor： Sundardas Samuel Dorai-Raj ,  Zilin Du ,  Nina Ning Ye ,  Ying Cheng ,  Wei Zhang ,  Annissa Al-Alusi

IPC: G06F11/34 ,  G06F16/31 ,  G06N20/00 ,  G06F17/18 ,  H04L67/50 ,  G06F18/214

CPC classification number: G06F11/3414 ,  G06F16/313 ,  G06N20/00 ,  G06F17/18 ,  H04L67/535 ,  G06F18/214

Abstract: 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.

公开(公告)号：US11669431B2

公开(公告)日：2023-06-06

申请号：US16245920

申请日：2019-01-11

Applicant: Google LLC

Inventor： Sundardas Samuel Dorai-Raj ,  Zilin Du ,  Nina Ning Ye ,  Ying Chen ,  Wei Zhang ,  Annissa Al-Alusi

IPC: G06F17/00 ,  G06F11/34 ,  G06F16/31 ,  G06N20/00 ,  G06F17/18 ,  H04L67/50 ,  G06F18/214

CPC classification number: G06F11/3414 ,  G06F16/313 ,  G06F17/18 ,  G06F18/214 ,  G06N20/00 ,  H04L67/535

Abstract: 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.