Systems and Methods Venue Visitation Forecasting
AssigneeDexibit Limited
InventorsAdnaan Velji, Alexandria Garkavenko, Angelene Kylie Judge, Norman Boon Chew Yap
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Abstract
A system and method for the computerized forecasting of venue, visitation based on data comprising historic visitation data and a contextual data set comprising a set of defined factors, the system and method including the building of a venue forecasting model incorporating machine learning, and using the venue forecasting model to generate a venue forecast by applying the model to future contextual data.
Claims19
A method of computerized forecasting of venue visitation based on data comprising historic visitation data and a contextual data set comprising a set of defined factors, wherein each of the data sets comprises temporal reference data, the method comprising the steps of:
- a. building a venue visitation forecasting, model by the steps of:
- i. receiving the historic visitation data including temporal reference data;
- ii. receiving the contextual data set comprising a set of defined factors, each of the set of defined factors having temporal data overlapping, at least in part, to the historical data temporal reference;
- iii. applying a machine learning process to determine the influence associated with each defined factor in the contextual data set to the historic visitation data for overlapping, at least in part, a temporal reference;
- and
- iv. generating the venue visitation forecasting model based on the determined influence associated with each defined factor;
- and
- b. applying the venue visitation forecasting model to generate a visitation forecast by the steps of:
- i. receiving a future temporal reference for the desired visitation forecast and future contextual data set for at least the future temporal reference;
- ii. applying the forecasting model to the future contextual data for the future temporal reference to thereby produce a venue visitation forecast;
- and
- iii. generating an output indicative of the venue visitation forecast for at least the future temporal reference.
A system configured for the computerized forecasting of venue visitation based on data comprising historic visitation data and a contextual data set comprising a set of defined factors, each of the data sets comprises temporal reference data, the system comprising:
- a. a memory and a processor
- wherein the memory is configured to store the historic visitation data including the temporal reference data and the contextual data set comprising a set of defined factors, each of the set of defined factors having temporal data overlapping, at least in part, to the historical data temporal reference;
- and
- wherein the processor is configured to execute instructions to compute a computerized building of a venue forecasting model, including the steps of:
- i. applying a machine learning process to determine the influence associated with each defined factor in the contextual data set to the historic visitation data for overlapping, at least in part, a temporal reference;
- and
- ii. generating the venue visitation forecasting model based on the determined influence associated with each defined factor;
- wherein the instructions further comprise application of the venue visitation forecasting model to generate a visitation forecast by the steps of:
- i. receiving a future temporal reference for the desired visitation forecast and future contextual data set for at least the future temporal reference;
- ii. applying the forecasting model to the future contextual data for the future temporal reference to thereby produce a venue visitation forecast;
- and
- iii. generating an output indicative of the venue visitation forecast for at least the future temporal reference.
A method of generating a building control signal carrying information indicating or predicting occupants in a building based on data comprising historic visitation data and a contextual data set, comprising a set of defined factors;
- each of the data sets comprises temporal reference data, the method comprising the steps of:
- a. the computer processor implemented building of a venue forecasting model comprising the steps of:
- i. directing, via a control interface, the processor to receive the historic building visitation data including temporal reference data;
- ii. directing, via a control interface, the processor to receive the contextual data set comprising a set of defined factors, each of the set of defined factors having temporal data overlapping, at least in part, to the historical data temporal reference;
- iii. directing, via a control interface, the processor to implement a machine learning process to determine the influence associated with each defined factor in the contextual data set to the historic visitation data for overlapping, at least in part, a temporal reference;
- and
- iv. directing via a control interface, the processor to generate the building visitation forecasting model based on the determined influence associated with each defined factor;
- and
- b. applying the building visitation forecasting model to generate a visitation forecast by the steps of:
- i. inputting to the forecasting model, via a control interface, a future temporal reference for the desired building visitation forecast and future contextual data set for at least the future temporal reference to thereby produce a building visitation forecast;
- and
- ii. generating the building control signal based on the building visitation forecast for the future temporal reference.
Dependencies are inferred from the claim text.