RECOMMENDING AND PRICING DATASETS

摘要

A computer processor provides a set of datasets, including at least a first dataset, with each dataset of the set of datasets respectively being configured to allow the dataset to be presented according to multiple variations, with each variation being defined by a selection of at least one transformation. The computer processor receives customer feedback information relating to at least a first variation of the first dataset. The computer processor trains a first machine learning algorithm, based, at least in part, upon the customer feedback information. The computer processor performs, by the first machine learning algorithm, a marketing act. The marketing act includes at least one of the following: (i) defining a new variation of the first dataset, (ii) defining a new transformation for defining variations of the first dataset, (iii) recommending a predefined variation of the first dataset, and (iv) pricing a predefined variation of the first dataset.

主权项

1. A method comprising:
providing a set of datasets, including at least a first dataset, with each dataset of the set of datasets respectively being configured to allow the dataset to be presented according to multiple variations, with each variation being defined by a selection of at least one transformation; receiving customer feedback information relating to at least a first variation of the first dataset; training a first machine learning algorithm, based, at least in part, upon the customer feedback information; and performing, by the first machine learning algorithm, a marketing act; wherein: the marketing act includes at least one of the following: (i) defining a new variation of the first dataset, (ii) defining a new transformation for defining variations of the first dataset, (iii) recommending a predefined variation of the first dataset, and (iv) pricing a predefined variation of the first dataset.