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.

    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
    3.
    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.

    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.

    INVENTORY-ASSISTED ARTIFICIAL INTELLIGENCE RECOMMENDATION ENGINE

    公开(公告)号:US20200098030A1

    公开(公告)日:2020-03-26

    申请号:US16140015

    申请日:2018-09-24

    Abstract: A method of generating digital data content customized for a user of a digital data platform includes determining, through artificial intelligence, potential interests of a user of a digital data platform and generating, through that same intelligence, a product recommendation based on the determined interests. The method further includes aggregating data from plural disparate sources regarding inventory availability and filtering the aggregated data in accord with the product recommendation. The product recommendation is transferred to a client digital data device for presentation to the user along with the inventory availability.

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