Filtering data with probabilistic filters for content selection

    公开(公告)号:US11657407B1

    公开(公告)日:2023-05-23

    申请号:US15457481

    申请日:2017-03-13

    CPC classification number: G06Q30/0201 G06N7/01

    Abstract: 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.

    Preventing duplicate content selection for digital presentation

    公开(公告)号:US10825064B1

    公开(公告)日:2020-11-03

    申请号:US15457502

    申请日:2017-03-13

    Abstract: Systems, methods, and computer-readable media are disclosed for preventing duplicate content selection for digital presentation. In one embodiment, an example method may include determining a first bid request for a first content delivery slot at a first time, the first bid request having a first user identifier, determining a ranking of candidate product identifiers for which the first user identifier is eligible at the first time, and determining a second bid request for a second content delivery slot at a second time, the second bid request having the first user identifier, where the second time is within a predetermined time interval of the first time. Example methods may include determining an impression counter value for the first user identifier at the second time, selecting a product identifier from the candidate product identifiers using the impression counter value, and determining a first bid amount using the product identifier.

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