公开(公告)号：US11586945B2

公开(公告)日：2023-02-21

申请号：US16554474

申请日：2019-08-28

Applicant: salesforce.com, inc.

Inventor： Axella Novotny

IPC: G06F11/34 ,  H04L67/50 ,  G06N5/04 ,  G06N20/00 ,  G06F11/30 ,  G06F8/77 ,  G06F8/10

Abstract: Methods and systems are provided for modifying an application provided by a cloud-based computing system. The application is used by end users of an organization that is part of the cloud-based computing system. A clickstream monitoring module monitors a clickstream generated by each end user as that end user interacts with the application to generate a set of clickstream data for that particular end user. Each set of clickstream data indicates a path of interaction with features of the application by a particular end user. The sets of clickstream data can then be processed at an analytics engine to extract usage patterns that indicate how end users interact with different features of the application during usage of the application. The extracted usage patterns indicate which features the end users interact with and in what order. An artificial intelligence engine can then generate, based on the extracted usage patterns, at least one recommendation for modifying one or more features of the application to tailor the application for use by the end users in view of the extracted usage patterns.

公开(公告)号：US20210042638A1

公开(公告)日：2021-02-11

申请号：US16554474

申请日：2019-08-28

Applicant: salesforce.com, inc.

Inventor： Axella Novotny

IPC: G06N5/04 ,  G06N20/00 ,  G06F11/30 ,  G06F11/34

Abstract: Methods and systems are provided for modifying an application provided by a cloud-based computing system. The application is used by end users of an organization that is part of the cloud-based computing system. A clickstream monitoring module monitors a clickstream generated by each end user as that end user interacts with the application to generate a set of clickstream data for that particular end user. Each set of clickstream data indicates a path of interaction with features of the application by a particular end user. The sets of clickstream data can then be processed at an analytics engine to extract usage patterns that indicate how end users interact with different features of the application during usage of the application. The extracted usage patterns indicate which features the end users interact with and in what order. An artificial intelligence engine can then generate, based on the extracted usage patterns, at least one recommendation for modifying one or more features of the application to tailor the application for use by the end users in view of the extracted usage patterns.