| CPC G06F 16/24578 (2019.01) [G06N 20/00 (2019.01)] | 20 Claims |
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1. A computer-implemented method comprising:
identifying a plurality of content items with which a user has interacted and a time stamp for each content item indicative of when the user interacted with the content item;
training a machine learning model using the content items and the time stamp for each content item to generate a trained machine learning model;
generating, using the trained machine learning model, a relevance score for each target content item from a plurality of target content items, the relevance score for each target content item indicative of a relevance of the target content item to the user; and
providing, for presentation on a user device of the user, at least a portion of the target content items based on the relevance scores.
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