US 2010/0169245 A1Published application

Statistical Machine Learning

AssigneeSap SE

InventorsBinyamin Basel, Yizhak Idan

Life of this patent

Estimating the term…

Loading patent…

Abstract

Statistical machine learning, in which an input module receives user input that defines a hypothesis associated with a particular Output. The hypothesis defines one or more starting criteria that are proposed as being correlated with the particular output, and a recommendation engine initially provides recommendations that include the particular output based on the one or more starting criteria defined by the hypothesis. An experience analytics system receives feedback data related to whether the recommendations provided based on the one or more starting criteria defined by the hypothesis were successful and modifies the hypothesis based on the feedback data. Subsequent to the experience analytics system modifying the hypothesis, the recommendation engine provides recommendations that include the particular output based on the modified hypothesis.

Claims20

Dependent claims

A statistical machine learning system comprising:

an input module configured to receive user input that defines a hypothesis associated with a particular output, the hypothesis defining one or more starting criteria that are proposed as being correlated with the particular output
at least one electronic data store configured to store data representative of the hypothesis defined by the user input;
a recommendation engine configured to access the data representative of the hypothesis and provide, during a first period of time, recommendations that include the particular output based on the one or more starting criteria defined by the hypothesis;
and
an experience analytics system configured to receive, from an application system, feedback data related to whether the recommendations provided based on the one or more starting criteria defined by the hypothesis were successful and modify the hypothesis based on the feedback data received from the application system,
wherein the recommendation engine is further configured to, subsequent to the experience analytics system modifying the hypothesis, provide, during a second period of time that is subsequent to the first period of time, recommendations that include the particular output based on the modified hypothesis.

3 more elements

A computer-implemented method of statistical machine learning comprising:

receiving user input that defines a hypothesis associated with a particular output, the hypothesis defining one or more starting criteria that are proposed as being correlated with the particular output;
storing, in electronic storage, data representative of the hypothesis defined by the user input;
providing, during a first period of time, recommendations that include the particular output based on the one or more starting criteria defined by the hypothesis;
receiving, from an application system, feedback data related to whether the recommendations provided based on the one or more starting criteria defined by the hypothesis were successful;
modifying, using a processor, the hypothesis based on the feedback data received from the application system;
and
subsequent to modifying the hypothesis, providing, during a second period of time that is subsequent to the first period of time, recommendations that include the particular output based on the modified hypothesis.

4 more elements

At least one computer-readable storage medium encoded with executable instructions that, when executed by a processor, cause the processor to perform operations comprising:

receiving user input that defines a hypothesis associated with a particular output, the hypothesis defining one or more starting criteria that are proposed as being correlated with the particular output;
storing, in electronic storage, data representative of the hypothesis defined by the user input;
providing, during a first period of time, recommendations that include the particular output based on the one or more starting criteria defined by the hypothesis;
receiving, from an application system, feedback data related to whether the recommendations provided based on the one or more starting criteria defined by the hypothesis were successful;
modifying, using a processor, the hypothesis based on the feedback data received from the application system;
and
subsequent to modifying the hypothesis, providing, during a second period of time that is subsequent to the first period of time, recommendations that include the particular output based on the modified hypothesis.

4 more elements

Dependencies are inferred from the claim text.