| CPC G06F 16/906 (2019.01) [G06F 3/0482 (2013.01); G06F 16/9035 (2019.01)] | 20 Claims |
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1. A computer-implemented method comprising:
selecting one or more candidate seed content items for seeding generation of a content collection from a plurality of content items associated with a user account of a content management system;
generating, based on the one or more candidate seed content items, one or more content clusters from the plurality of content items associated with the user account by:
determining a first relevance score based on comparing a topic for a content item from the plurality of content items with a germane topic of one or more candidate seed content items;
determining a second relevance score based on comparing an object classification for the content item from the plurality of content items with the germane topic of the one or more candidate seed content items; and
generating a combined relevance score by utilizing a hybrid relevance model to combine the first relevance score and the second relevance score;
identifying a suggested content collection for the user account from a content cluster determined by the combined relevance score from among the one or more content clusters seeded by the one or more candidate seed content items; and
providing a notification corresponding to the suggested content collection for display on a client device associated with the user account.
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