The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 16, 2021

Filed:

Feb. 24, 2017
Applicant:

Sap SE, Walldorf, DE;

Inventors:

Xiaoyong Guo, Shanghai, CN;

Dong Wang, Shanghai, CN;

Yinghua Chen, Shanghai, CN;

Assignee:

SAP SE, Walldorf, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 99/00 (2019.01); G06Q 30/00 (2012.01); G06Q 30/02 (2012.01); G06F 17/27 (2006.01); G06Q 40/02 (2012.01); G06Q 30/06 (2012.01); G06Q 40/08 (2012.01); G06N 3/08 (2006.01); G06N 20/10 (2019.01);
U.S. Cl.
CPC ...
G06Q 30/0631 (2013.01); G06N 3/084 (2013.01); G06N 20/10 (2019.01); G06Q 40/08 (2013.01);
Abstract

A framework for generating optimized recommendations is described herein. For example, an optimized customer recommendation engine is described herein. Customer data is collected and pre-processed into a data model. Recommendations are calculated and provided by an aggregated method. The aggregated output is generated based on the outputs of a real-time prediction model and an offline modeling process. The real-time prediction model may be an online modeling training technique based on support vector machines (SVM) to classify customers and provide quick recommendations. The offline modeling process may be a learning process based on a back-propagation artificial neural network (BP-ANN) to provide with reliable predictions. Validation may be introduced to evaluate the accuracy of the recommendation model.


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