CPC G06N 3/08 (2013.01) [G06F 16/282 (2019.01); G06F 16/285 (2019.01)] | 20 Claims |
1. A method comprising:
summarizing touchpoints into k-hot encoding feature vectors, wherein the touchpoints are customer interactions;
mapping the feature vectors onto an embedding layer;
predicting a hierarchical data sequence using the embedding layer and the feature vectors;
extracting the feature vectors that are most influential in predicting the embedding layer based on gradient analysis of terms that influenced embedding; and
outputting the touchpoints associated with the most influential feature vectors.
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