MAPPING AND FILTERING RECOMMENDATION ENGINE

    公开(公告)号:US20210326944A1

    公开(公告)日:2021-10-21

    申请号:US17330534

    申请日:2021-05-26

    Abstract: A method of generating digital data content customized for a user of one or more digital data platforms includes determining, through artificial intelligence, interests of a first user of the one or more digital data platforms, as well as those of a plurality of other users. The method further includes generating a product recommendation for the first user by mapping and filtering, e.g., using ontological filtering, natural language processing and/or semantics, the interests determined for the plurality of other users to the interests determined for the first user, and transferring the product recommendation, along with inventory availability, to a client digital data device for presentation to the first user.

    Scalable Systems and Methods for Generating and Serving Recommendations

    公开(公告)号:US20200098034A1

    公开(公告)日:2020-03-26

    申请号:US16695860

    申请日:2019-11-26

    Abstract: A scalable recommendation engine includes stateless processors in communication with at least one memory server that stores contextual data. A router is configured to direct a recommendation request to a first stateless processor, which is configured to generate a recommendation using contextual data from the memory server. A controller monitors the available processing bandwidth of the stateless processors and deploys an additional stateless processor if the available processing bandwidth is less than a minimum available processing bandwidth threshold. The controller can remove from deployment a stateless processor if the available processing bandwidth is greater than a maximum pre-determined available processing bandwidth threshold.

    Mapping and filtering recommendation engine

    公开(公告)号:US11443350B2

    公开(公告)日:2022-09-13

    申请号:US17330534

    申请日:2021-05-26

    Abstract: A method of generating digital data content customized for a user of one or more digital data platforms includes determining, through artificial intelligence, interests of a first user of the one or more digital data platforms, as well as those of a plurality of other users. The method further includes generating a product recommendation for the first user by mapping and filtering, e.g., using ontological filtering, natural language processing and/or semantics, the interests determined for the plurality of other users to the interests determined for the first user, and transferring the product recommendation, along with inventory availability, to a client digital data device for presentation to the first user.

    Scalable systems and methods for generating and serving recommendations

    公开(公告)号:US11164235B2

    公开(公告)日:2021-11-02

    申请号:US16695860

    申请日:2019-11-26

    Abstract: A scalable recommendation engine includes stateless processors in communication with at least one memory server that stores contextual data. A router is configured to direct a recommendation request to a first stateless processor, which is configured to generate a recommendation using contextual data from the memory server. A controller monitors the available processing bandwidth of the stateless processors and deploys an additional stateless processor if the available processing bandwidth is less than a minimum available processing bandwidth threshold. The controller can remove from deployment a stateless processor if the available processing bandwidth is greater than a maximum pre-determined available processing bandwidth threshold.

    Mapping and filtering recommendation engine

    公开(公告)号:US11049153B2

    公开(公告)日:2021-06-29

    申请号:US16246063

    申请日:2019-01-11

    Abstract: A method of generating digital data content customized for a user of one or more digital data platforms includes determining, through artificial intelligence, interests of a first user of the one or more digital data platforms, as well as those of a plurality of other users. The method further includes generating a product recommendation for the first user by mapping and filtering, e.g., using ontological filtering, natural language processing and/or semantics, the interests determined for the plurality of other users to the interests determined for the first user, and transferring the product recommendation, along with inventory availability, to a client digital data device for presentation to the first user.

    MAPPING AND FILTERING RECOMMENDATION ENGINE
    6.
    发明申请

    公开(公告)号:US20200098020A1

    公开(公告)日:2020-03-26

    申请号:US16246063

    申请日:2019-01-11

    Abstract: A method of generating digital data content customized for a user of one or more digital data platforms includes determining, through artificial intelligence, interests of a first user of the one or more digital data platforms, as well as those of a plurality of other users. The method further includes generating a product recommendation for the first user by mapping and filtering, e.g., using ontological filtering, natural language processing and/or semantics, the interests determined for the plurality of other users to the interests determined for the first user, and transferring the product recommendation, along with inventory availability, to a client digital data device for presentation to the first user.

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