CPC G06F 16/9535 (2019.01) | 33 Claims |
1. A system, comprising:
at least one processor configured to:
identify a plurality of interests corresponding to a user account of a user;
for each respective interest of the plurality of interests, applying a plurality of interest indicator values to a machine learning model to generate a respective confidence score for each respective interest, the respective confidence score indicating a likelihood that the respective interest is relevant to the user;
search a plurality of different web domains based on the plurality of interests associated with the user account;
receive a plurality of web documents based on the search, each of the plurality of web documents corresponding to at least one respective interest of the plurality of interests, a first web document of the plurality of web documents being from a first web domain of the plurality of different web domains and a second web document of the plurality of web documents being from a second web domain of the plurality of different web domains;
filter the plurality of web documents based at least in part on the respective confidence scores of the corresponding plurality of interests;
after filtering the plurality of web documents, rank the plurality of web documents based at least in part on a document score determined for each of the plurality of web documents and a user signal corresponding to activity of the user; and
generate a content feed that includes at least a subset of the plurality of web documents based at least in part on the ranking for an application;
provide at least a portion of the content feed for display, the at least the portion of the content feed comprising the first and second web documents;
adjust the content feed based at least in part on prior implicit engagement of the user with the content feed; and
provide at least a portion of the adjusted content feed for display; and
a memory coupled with the at least one processor, wherein the memory is configured to provide the at least one processor with instructions.
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