公开(公告)号：US10810511B2

公开(公告)日：2020-10-20

申请号：US15441211

申请日：2017-02-23

Applicant: SAP SE

Inventor： Abraham Sasmito Adibowo ,  Weile Chen

IPC: G06N20/00 ,  G06F16/2457

Abstract: A framework for improving data set in an enterprise system for machine learning is provided. In accordance with one aspect, user input of a project update is provided by a user to an enterprise system. A record of the project update is created in the enterprise system based on the user input. The project update provided by the user into the enterprise system is analyzed using a gamification technique. The analysis includes quantifying the user's input of the project update to the enterprise system by assigning points to the user based on the project update provided to the enterprise system. The assigned points are displayed to the user on a user interface of a user device to enable friendly competition with other users which encourages more detailed and frequent project updates to the enterprise system by the user.

公开(公告)号：US11416680B2

公开(公告)日：2022-08-16

申请号：US15241040

申请日：2016-08-18

Applicant: SAP SE

Inventor： Danqing Cai ,  Wei Tah Chai ,  Pek Gnee Ng ,  Subashini Rengarajan ,  Xin Zheng ,  Hang Guo ,  Weile Chen

IPC: G06F40/279 ,  G06F16/35

Abstract: Described herein is a framework for classifying social media inputs. In accordance with one aspect of the framework, one or more social media inputs is acquired from one or more social media platforms. The social media inputs are cleaned to remove redundant elements. One or more features are extracted from the cleaned social media inputs. The social media inputs are classified by a trained classifier into predefined categories using the extracted one or more features.

公开(公告)号：US11281989B2

公开(公告)日：2022-03-22

申请号：US15451428

申请日：2017-03-07

Applicant: SAP SE

Inventor： Daniel Hermann Richard Dahlmeier ,  Ruidan He ,  Wenya Wang ,  Kham Sian Mung ,  Mohamed Yusuf Abdul Gafoor ,  Yi Qing Isaac New ,  Weile Chen ,  Hang Guo ,  Haodan Yang ,  Abraham Sasmito Adibowo

IPC: G06N20/00 ,  G06Q10/06 ,  G06Q30/02

Abstract: Described herein is a machine learning framework for facilitating engagements. In accordance with one aspect of the framework, a machine learning model is trained based on the training data. A recommendation associated with an opportunity record may then be generated using the trained machine learning model. Results of one or more actions performed in response to the recommendation may be collected and fed back to the machine learning model to be used as the training data.