Filtering data with probabilistic filters for content selection

Systems, methods, and computer-readable media are disclosed for filtering data with probabilistic filters for content selection. In one embodiment, an example method may include determining a user interaction history with a first product identifier for a user account, determining a first parent prod...

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Bibliographische Detailangaben
Hauptverfasser: Bradley, Andrew J, McBryan, Anthony Richard, Dastidar, Anirudh, Grossman, Fred, Merlino, Sebastiano, Birkett, Andrew Douglas
Format: Patent
Sprache:eng
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Zusammenfassung:Systems, methods, and computer-readable media are disclosed for filtering data with probabilistic filters for content selection. In one embodiment, an example method may include determining a user interaction history with a first product identifier for a user account, determining a first parent product identifier of the first product identifier, and generating a database with the first parent product identifier and a user account identifier for the user account. Example methods may include determining a set of candidate content with first content and second content for the user account, determining a second product identifier associated with the first content, and determining a second parent product identifier of the second product identifier. Example methods may include determining that the second parent product identifier is not present in the database using a probabilistic filter, and determining that the first content is eligible for presentation.