CPC G06F 40/186 (2020.01) [G06F 40/30 (2020.01); G06N 3/08 (2013.01)] | 20 Claims |
1. A computer-implemented method comprising:
generating, for a user a creative segment classification;
determining geo-seasonal intent data for a plurality of digital design templates by segmenting seasonal digital design templates from non-seasonal digital design templates by:
generating a plurality of length vectors for the plurality of digital design templates that comprises export counts per geographic locale; and
identifying a seasonal digital design template based on determining a value from a length vector of the plurality of length vectors satisfies a predetermined threshold;
generating template classifications for theft plurality of digital design templates by utilizing a machine learning model to process the geo-seasonal intent data and creative intent;
identifying a subset of digital design templates of the plurality of digital design templates based on the template classifications, the geo-seasonal intent data and the creative segment classification of the user; and
providing, for display to the user within a graphical user interface, the subset of digital design templates as recommendations.
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