公开(公告)号：US20240296376A1

公开(公告)日：2024-09-05

申请号：US18116794

申请日：2023-03-02

Applicant: SAP SE

Inventor： Akshay Sinha ,  Matthias Hirsch ,  Mitchell Clark

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: Techniques and solutions are provided for obtaining a suggested configuration for a configurable object. Typically, a particular object and object configuration are recommended based on technical characteristics of the object. However, a user or process wishing to obtain a recommendation may be more familiar with their operational requirements. Disclosed techniques can include an overall solutions category containing solutions of different solutions category subtypes. Sets of requirements attributes and configuration (technical) attributes can be defined for the solutions category. In some cases, a first machine learning model is trained using input values for the requirements attributes and the configuration attributes, and is used to recommend a particular solution in response to a set of input requirement attribute values. Different machine learning models can be trained for the various solutions, including using the configuration attributes for a particular solution, and can be used to recommend a configuration of a selected/recommend solution.

公开(公告)号：US20240296400A1

公开(公告)日：2024-09-05

申请号：US18116792

申请日：2023-03-02

Applicant: SAP SE

Inventor： Akshay Sinha ,  Matthias Hirsch ,  Mitchell Clark

IPC: G06Q10/0631 ,  G06Q30/0601

CPC classification number: G06Q10/06315 ,  G06Q30/0621

Abstract: Techniques and solutions are provided for obtaining a suggested configuration for a configurable object. Typically, a particular object and object configuration are recommended based on technical characteristics of the object. However, a user or process wishing to obtain a recommendation may be more familiar with their operational requirements. Disclosed techniques can include an overall solutions category containing solutions of different solutions category subtypes. Sets of requirements attributes and configuration (technical) attributes can be defined for the solutions category. In some cases, a first machine learning model is trained using input values for the requirements attributes and the configuration attributes, and is used to recommend a particular solution in response to a set of input requirement attribute values. Different machine learning models can be trained for the various solutions, including using the configuration attributes for a particular solution, and can be used to recommend a configuration of a selected/recommend solution.

公开(公告)号：US20240296375A1

公开(公告)日：2024-09-05

申请号：US18116793

申请日：2023-03-02

Applicant: SAP SE

Inventor： Akshay Sinha ,  Matthias Hirsch ,  Mitchell Clark

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: Techniques and solutions are provided for obtaining a suggested configuration for a configurable object. Typically, a particular object and object configuration are recommended based on technical characteristics of the object. However, a user or process wishing to obtain a recommendation may be more familiar with their operational requirements. Disclosed techniques can include an overall solutions category containing solutions of different solutions category subtypes. Sets of requirements attributes and configuration (technical) attributes can be defined for the solutions category. In some cases, a first machine learning model is trained using input values for the requirements attributes and the configuration attributes, and is used to recommend a particular solution in response to a set of input requirement attribute values. Different machine learning models can be trained for the various solutions, including using the configuration attributes for a particular solution, and can be used to recommend a configuration of a selected/recommend solution.