Patent ID: 9449281
Filing Date: 2016-09-20
CPC Classification: G06N

Claim Text:
1. 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, based on an existing business knowledge associated to a purchasing process of a product, one or more starting criteria that are proposed as being correlated with the particular output; at least one non-transitory computer-readable storage medium coupled to one or more processors 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, a recommendation to a first plurality of customers, the recommendation comprising the particular output based on the one or more starting criteria defined by the hypothesis; and an experience analytics system configured to perform operations comprising: wherein the recommendation engine is further configured to provide, during a second period of time that is subsequent to the first period of time, an updated recommendation to a second plurality of customers, the updated recommendation comprising the particular output based on the modified hypothesis.