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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
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.
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公开(公告)号：US20240232913A1
公开(公告)日：2024-07-11
申请号：US17925486
申请日：2022-06-17
Applicant: Google LLC
Inventor： Matthew Thompson Walter , Michael Joseph Valenty , Sundardas Samuel Dorai-Raj , Moshe Lichman , Manish Agrawal , Joseph Kelly , Michael Andrew Wallace , Stephen Paul Ganem
IPC: G06Q30/0201 , G06Q30/0601
CPC classification number: G06Q30/0201 , G06Q30/0633
Abstract: Techniques for generating a report for a website are presented herein. A method can include accessing, by one or more computing devices, a plurality of unidentified events. Each event in the plurality of unidentified events can be associated with one or more properties. Additionally, the method can calculate, using a machine-learned prediction model, a number of pseudo users associated with the plurality of unidentified events based on an event-to-user-ratio and a total number of unidentified events. Moreover, the method can include assigning a first event from the plurality of unidentified events to a first pseudo user based on the one or more properties of the first event. Furthermore, the method can include generating the report for the website. The report includes information derived from the first event being assigned to the first pseudo user.
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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
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.
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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
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.
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