CustomerTemporalRegularities | source code and the public available datasets

CustomerTemporalRegularities is a Jupyter Notebook library. CustomerTemporalRegularities has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

in this repository we provide the source code and the public available datasets used in the paper "discovering temporal regularities in retail customers' shopping behavior" in which we investigate the regularities characterizing the temporal purchasing behavior of the customers of a retail market chain. the state of the art does not allow capturing which are the temporal purchasing patterns of each customers. these patterns should describe the customer's temporal habits highlighting when she typically makes a purchase in correlation with information about the amount of expenditure, number of purchased items and other similar aggregates. this knowledge could be exploited for different scopes: set temporal discounts for making the purchases of customers more regular with respect the time, set personalized discounts in the day and time window preferred by the customer, provide recommendations for shopping time schedule, etc. to this aim, we