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    Query-based recommendation systems using machine learning-trained classifier
    52.
    发明授权
    Query-based recommendation systems using machine learning-trained classifier 有权

    公开(公告)号：US11823044B2

    公开(公告)日：2023-11-21

    申请号：US16915872

    申请日：2020-06-29

    Applicant: PayPal, Inc.

    Inventor： Itay Margolin

    IPC: G06F7/00 ,  G06N3/08 ,  G06F16/14 ,  G06F16/17 ,  G06N20/00 ,  G06F18/25 ,  G06F18/20 ,  G06F18/2451

    CPC classification number: G06N3/08 ,  G06F16/156 ,  G06F16/173 ,  G06F18/2451 ,  G06F18/254 ,  G06F18/285 ,  G06N20/00

    Abstract: Systems and methods for query-based recommendation systems using machine learning-trained classifiers are provided. A service provider server receives, from a communication device through an application programming interface, a query in an interaction between the server provider server and the communication device. The service provider server generates a vector of first latent features from a set of first visible features associated with the query using a machine learning-trained classifier. The service provider server generates a likelihood scalar value indicating a likelihood of the query is answered by a candidate user in a set of users using a combination of the vector of first latent features and a vector of second latent features. The service provider server provides, to the communication device through the application programming interface, a recommendation message as a response to the query, where the recommendation message includes the likelihood scalar value and an indication of the candidate user.

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