Methods and system for automatic population of item recommendations in retail website in response to item selections

Abstract

A recommendation system is disclosed. The recommendation system may receive a sequence of items selected by a user. Based on the sequence of items, the recommendation system may recommend one or more items. To do so, the recommendation system may apply a graph neural network. The recommendation system may receive a second sequence of items that includes the first sequence of items plus one or more items. Based on the second sequence of items, the recommendation system may recommend one or more different items by applying the graph neural network.

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