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11 条记录 (耗时 0.017 秒)

    AUTOMATICALLY DETERMINING IN REAL-TIME A TRIGGERING MODEL FOR PERSONALIZED RECOMMENDATIONS
    1.
    发明申请
    AUTOMATICALLY DETERMINING IN REAL-TIME A TRIGGERING MODEL FOR PERSONALIZED RECOMMENDATIONS 有权

    公开(公告)号：US20210241349A1

    公开(公告)日：2021-08-05

    申请号：US16779541

    申请日：2020-01-31

    申请人： Walmart Apollo, LLC

    发明人： Aditya Mantha ,  Rahul Radhakrishnan Iyer ,  Shashank Kedia ,  Shubham Gupta ,  Praveenkumar Kanumala ,  Stephen Dean Guo ,  Kannan Achan

    IPC分类号： G06Q30/06 ,  G06N7/00

    摘要： A method including building a recommendation triggering model. The method can include receiving, via a user device of a user through a network, an add-to-cart command associated with an anchor item in a session by the user. The method further can include determining, in real-time after receiving the add-to-cart command, a recommendation for one or more complementary items based at least in part on: (a) the anchor item; and (b) a user profile of the user. The method also can include determining, in real-time after determining the recommendation, a recommendation confidence for the recommendation based at least in part on one or more of: (a) the user profile; (b) the anchor item; (c) the one or more complementary items; or (d) one or more feedbacks from the user associated with one or more prior recommendations in the session. The method additionally can include after determining the recommendation confidence, when the recommendation confidence is positive, transmitting, in real-time through the network, the one or more complementary items to be presented to the user via the user device. The method likewise can include after determining the recommendation confidence, when the recommendation confidence is not positive, refraining from transmitting the one or more complementary items to the user. Other embodiments are disclosed.

    AUTOMATICALLY DETERMINING IN REAL-TIME A TRIGGERING MODEL FOR PERSONALIZED RECOMMENDATIONS
    2.
    发明申请
    AUTOMATICALLY DETERMINING IN REAL-TIME A TRIGGERING MODEL FOR PERSONALIZED RECOMMENDATIONS 有权

    公开(公告)号：US20210374832A1

    公开(公告)日：2021-12-02

    申请号：US17399977

    申请日：2021-08-11

    申请人： Walmart Apollo, LLC

    发明人： Aditya Mantha ,  Rahul Radhakrishnan Iyer ,  Shashank Kedia ,  Shubham Gupta ,  Praveenkumar Kanumala ,  Stephen Dean Guo ,  Kannan Achan

    IPC分类号： G06Q30/06 ,  G06N7/00

    摘要： A method including building a recommendation triggering model. The method can include receiving, via a user device of a user through a network, an add-to-cart command associated with an anchor item for the user. The method further can include determining, in real-time after receiving the add-to-cart command, a recommendation for one or more complementary items of the anchor item for the user. The method also can include determining, in real-time after determining the recommendation, a recommendation confidence for the recommendation. The method additionally can include after determining the recommendation confidence, when the recommendation confidence is positive, transmitting, in real-time through the network, the one or more complementary items to be presented to the user via the user device. The method likewise can include after determining the recommendation confidence, when the recommendation confidence is not positive, refraining from transmitting the one or more complementary items to the user. Other embodiments are disclosed.

    Systems and methods for prediction of item quantity
    4.
    发明授权
    Systems and methods for prediction of item quantity 有权

    公开(公告)号：US11544763B2

    公开(公告)日：2023-01-03

    申请号：US16778905

    申请日：2020-01-31

    申请人： Walmart Apollo, LLC

    发明人： Rahul Radhakrishnan Iyer ,  Shubham Gupta ,  Praveenkumar Kanumala ,  Stephen Dean Guo ,  Kannan Achan

    IPC分类号： G06Q30/00 ,  G06Q30/06 ,  G06F3/0482

    摘要： Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform acts of receiving a user identifier, receiving an item identifier, determining user item quantity information related to quantities of the item previously selected by the user, determining a respective household size for each user, and determining aggregate household item quantity information related to quantities of the item previously selected by an aggregate of users of the same household size. If a first threshold level of the quantity of transactions is met, a recommended quantity is based on the user item quantity information, and if not, the recommended quantity is based on the aggregate household item quantity information. The user interface of the electronic device is updated to notify the user of the recommended quantity. Other embodiments are disclosed herein.

    SYSTEMS AND METHODS FOR CONTEXT AWARE REWARD BASED GAMIFIED ENGAGEMENT
    5.
    发明公开
    SYSTEMS AND METHODS FOR CONTEXT AWARE REWARD BASED GAMIFIED ENGAGEMENT 审中-公开

    公开(公告)号：US20240256301A1

    公开(公告)日：2024-08-01

    申请号：US18421105

    申请日：2024-01-24

    申请人： Walmart Apollo, LLC

    发明人： Rahul Radhakrishnan Iyer ,  Malay Kumar Patel ,  Saurabh Kumar ,  Sushant Kumar ,  Kannan Achan

    IPC分类号： G06F9/451 ,  G06F40/40

    CPC分类号： G06F9/451 ,  G06F40/40

    摘要： Systems and methods for context aware engagement are disclosed. A request for a user interface, including a user identifier, is received. A set of features associated with the user identifier are obtained and a user embedding is generated by applying an autoencoder to the set of features. A set of potential tasks associated with an enrollment portion of the user interface is obtained. A task embedding is generated for each task in the set of potential tasks. A user-task affinity is generated by comparing the user embedding to each task embedding. A ranked set of tasks is generated by ranking each task based on the user-task affinity. A set of interface elements related to the highest ranked tasks in the ranked set of tasks is generated. A user interface including interface elements is generated and transmitted to a device that requested the user interface.

    Systems and methods for providing search results based on a primary intent
    6.
    发明授权
    Systems and methods for providing search results based on a primary intent 有权

    公开(公告)号：US11947548B2

    公开(公告)日：2024-04-02

    申请号：US17456733

    申请日：2021-11-29

    申请人： Walmart Apollo, LLC

    发明人： Rahul Radhakrishnan Iyer ,  Sushant Kumar ,  Kannan Achan

    IPC分类号： G06F16/2457 ,  G06F16/242 ,  G06N3/044 ,  G06N3/08 ,  G06Q30/0601

    CPC分类号： G06F16/24575 ,  G06F16/243 ,  G06N3/044 ,  G06N3/08 ,  G06Q30/0625

    摘要： This application relates to systems and methods for providing search results based on a primary intent. In some examples, a disclosed system includes a memory resource storing instructions; and one or more processors coupled to the memory resource. The one or more processors are configured to execute the instructions to: receive, from a user, a search query including a plurality of words, identify a plurality of intention terms from the words of the search query, compute, for each of the plurality of intention terms, a compatibility score between the intention term and a query context associated with the intention term, determine, from the plurality of intention terms, a primary intention term having a maximum compatibility score among the plurality of intention terms, and generate, based on the primary intention term, a set of intent-based search results in response to the search query, the set of intent-based search results identifying a set of items associated with the primary intention term.

    SYSTEMS AND METHODS FOR PROVIDING SEARCH RESULTS BASED ON A PRIMARY INTENT
    7.
    发明公开
    SYSTEMS AND METHODS FOR PROVIDING SEARCH RESULTS BASED ON A PRIMARY INTENT 审中-公开

    公开(公告)号：US20230169080A1

    公开(公告)日：2023-06-01

    申请号：US17456733

    申请日：2021-11-29

    申请人： Walmart Apollo, LLC

    发明人： Rahul Radhakrishnan Iyer ,  Sushant Kumar ,  Kannan Achan

    IPC分类号： G06F16/2457 ,  G06F16/242 ,  G06N3/04 ,  G06N3/08 ,  G06Q30/06

    CPC分类号： G06F16/24575 ,  G06F16/243 ,  G06N3/0445 ,  G06N3/08 ,  G06Q30/0625

    摘要： This application relates to systems and methods for providing search results based on a primary intent. In some examples, a disclosed system includes a memory resource storing instructions; and one or more processors coupled to the memory resource. The one or more processors are configured to execute the instructions to: receive, from a user, a search query including a plurality of words, identify a plurality of intention terms from the words of the search query, compute, for each of the plurality of intention terms, a compatibility score between the intention term and a query context associated with the intention term, determine, from the plurality of intention terms, a primary intention term having a maximum compatibility score among the plurality of intention terms, and generate, based on the primary intention term, a set of intent-based search results in response to the search query, the set of intent-based search results identifying a set of items associated with the primary intention term.

    Automatically determining in real-time a triggering model for personalized recommendations
    10.
    发明授权
    Automatically determining in real-time a triggering model for personalized recommendations 有权

    公开(公告)号：US11107144B2

    公开(公告)日：2021-08-31

    申请号：US16779541

    申请日：2020-01-31

    申请人： Walmart Apollo, LLC

    发明人： Aditya Mantha ,  Rahul Radhakrishnan Iyer ,  Shashank Kedia ,  Shubham Gupta ,  Praveenkumar Kanumala ,  Stephen Dean Guo ,  Kannan Achan

    IPC分类号： G06Q30/06 ,  G06N7/00

    摘要： A method including building a recommendation triggering model. The method can include receiving, via a user device of a user through a network, an add-to-cart command associated with an anchor item in a session by the user. The method further can include determining, in real-time after receiving the add-to-cart command, a recommendation for one or more complementary items based at least in part on: (a) the anchor item; and (b) a user profile of the user. The method also can include determining, in real-time after determining the recommendation, a recommendation confidence for the recommendation based at least in part on one or more of: (a) the user profile; (b) the anchor item; (c) the one or more complementary items; or (d) one or more feedbacks from the user associated with one or more prior recommendations in the session. The method additionally can include after determining the recommendation confidence, when the recommendation confidence is positive, transmitting, in real-time through the network, the one or more complementary items to be presented to the user via the user device. The method likewise can include after determining the recommendation confidence, when the recommendation confidence is not positive, refraining from transmitting the one or more complementary items to the user. Other embodiments are disclosed.