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    SYSTEMS AND METHODS FOR ALTERING A GRAPHICAL USER INTERFACE
    2.
    发明申请
    SYSTEMS AND METHODS FOR ALTERING A GRAPHICAL USER INTERFACE 有权

    公开(公告)号：US20220244822A1

    公开(公告)日：2022-08-04

    申请号：US17163486

    申请日：2021-01-31

    Applicant: Walmart Apollo, LLC

    Inventor： Jiwen You ,  Sinduja Subramaniam ,  Aleksandra Cerekovic ,  Evren Korpeoglu ,  Kannan Achan

    IPC: G06F3/0484 ,  G06F9/451 ,  G06N3/02

    Abstract: 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: receiving in-session user activity entered into on an initial graphical user interface (GUI) from a user electronic device of a user; pre-processing the in-session user activity to determine one or more intents of the in-session user activity; comparing the one or more intents of the in-session user activity with one or more complementary intents; and coordinating displaying a complimentary GUI on the user device of the user based on the one or more complementary intents. Other embodiments are disclosed herein.

    SYSTEM AND METHOD FOR DETERMINING CROSS-POLLINATION PRODUCT RECOMMENDATIONS
    3.
    发明公开
    SYSTEM AND METHOD FOR DETERMINING CROSS-POLLINATION PRODUCT RECOMMENDATIONS 审中-公开

    公开(公告)号：US20240257216A1

    公开(公告)日：2024-08-01

    申请号：US18427118

    申请日：2024-01-30

    Applicant: Walmart Apollo, LLC

    Inventor： Rahul Sridhar ,  Luyi Ma ,  Sinduja Subramaniam ,  Shiqin Cai ,  Jianpeng Xu ,  Nikhil Shripad Thakurdesai ,  Evren Korpeoglu ,  Kannan Achan

    IPC: G06Q30/0601 ,  G06Q30/0201

    CPC classification number: G06Q30/0631 ,  G06Q30/0201 ,  G06Q30/0625

    Abstract: A computer-implemented method including determining an anchor product type for an anchor item. The method further can include determining at least one associated product type for the anchor product type. Determining the at least one associated product type for the anchor product type further can include: (a) determining at least one complementary product type for the anchor product type; (b) determining an anchor-product-type-name vector for an anchor-product-type name of the anchor product type; (c) determining a respective complementary-product-type-name vector for a respective complementary-product-type name of each of the at least one complementary product type; (d) determining a respective product-type-name similarity score between the anchor-product-type-name vector and the respective complementary-product-type-name vector for each of the at least one complementary product type; and (e) determining the at least one associated product type based at least in part on a product-type-level threshold and the respective product-type-name similarity score for each of the at least one complementary product type. The method also can include determining at least one associated item for the anchor item based at least in part on the at least one associated product type and at least one recommended item for the anchor item. The method further can include transmitting, via a computer network, the at least one associated item to be displayed on a user interface for a user. Other embodiments are described.

    SYSTEMS AND METHODS FOR ANALYZING AND DISPLAYING PRODUCTS
    4.
    发明公开
    SYSTEMS AND METHODS FOR ANALYZING AND DISPLAYING PRODUCTS 审中-公开

    公开(公告)号：US20240257211A1

    公开(公告)日：2024-08-01

    申请号：US18103236

    申请日：2023-01-30

    Applicant: Walmart Apollo, LLC

    Inventor： Sonal Bathe ,  Rahul Sridhar ,  Sinduja Subramaniam ,  Evren Korpeoglu ,  Kannan Achan

    IPC: G06Q30/0601 ,  G06Q30/0202

    CPC classification number: G06Q30/0631 ,  G06Q30/0202 ,  G06Q30/0641

    Abstract: Systems and methods including one or more processors and one or more non-transitory computer readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform: receiving historical marketplace information for a user in a marketplace corresponding to products previously purchased by the user; processing the products to group the products into one or more product-type clusters; analyzing the one or more product-type clusters to determine respective inter-purchase interval (IPI) likelihood scores for each product in each of the one or more product-type clusters; identifying one or more candidate products from the one or more product-type clusters that have respective IPI likelihood scores that satisfy one or more thresholds; determining a respective time and a respective duration for a respective re-purchase notification for the user based on the respective IPI likelihood score for each of the one or more candidate products; ranking the one or more candidate products based on the respective IPI likelihood scores for the one or more candidate products; and transmitting a re-purchase notification to the user via a graphical user interface (GUI) that includes at least a subset of the one or more candidate products, the GUI including a first section that includes a first portion of the at least the subset of the one or more candidate products and a second section that includes a second portion of the at least the subset of the one or more candidate products. Other embodiments are disclosed.

    Single-select predictive platform model
    6.
    发明授权
    Single-select predictive platform model 有权

    公开(公告)号：US11636525B2

    公开(公告)日：2023-04-25

    申请号：US16779254

    申请日：2020-01-31

    Applicant: Walmart Apollo, LLC

    Inventor： Rahul Sridhar ,  Sinduja Subramaniam ,  Tejal Kumar Patted ,  Evren Korpeoglu ,  Kannan Achan ,  Rahul Ramkumar ,  Mark Richards Ibbotson ,  Thomas Russel Ward ,  Ryan Wayne Travis ,  Vidyanand Krishnan ,  Lucinda Frink Newcomb

    IPC: G06Q30/00 ,  G06Q30/0601 ,  G06N7/00 ,  G06Q30/02

    Abstract: A system comprising one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform: determining a set of items to recommend to a user based on a probability exceeding a predetermined threshold that the user will re-order each item of the set of items at a present time, wherein the probability is determined based at least in part on previous transactions of the user and other users within a first period of time, and wherein the set of items includes at least a predetermined number of items; sending instructions to display the set of items to the user on a user interface, wherein at least a portion of the set of items is shown as selected on the user interface, and the user interface further comprises a single-click option to add to a cart all selected items of the set of items; receiving a selection of the single-click option to add to the cart the all selected items of the set of items; and after receiving the single-click option, adding the all selected items of the set of items to the cart. Other embodiments are disclosed.

    Systems and methods for altering a graphical user interface
    7.
    发明授权
    Systems and methods for altering a graphical user interface 有权

    公开(公告)号：US11635878B2

    公开(公告)日：2023-04-25

    申请号：US17163486

    申请日：2021-01-31

    Applicant: Walmart Apollo, LLC

    Inventor： Jiwen You ,  Sinduja Subramaniam ,  Aleksandra Cerekovic ,  Evren Korpeoglu ,  Kannan Achan

    IPC: G06F3/0484 ,  G06N3/02 ,  G06F9/451

    Abstract: 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: receiving in-session user activity entered into on an initial graphical user interface (GUI) from a user electronic device of a user; pre-processing the in-session user activity to determine one or more intents of the in-session user activity; comparing the one or more intents of the in-session user activity with one or more complementary intents; and coordinating displaying a complimentary GUI on the user device of the user based on the one or more complementary intents. Other embodiments are disclosed herein.

    Machine learning techniques for transmitting push notifications
    9.
    发明授权
    Machine learning techniques for transmitting push notifications 有权

    公开(公告)号：US11087237B2

    公开(公告)日：2021-08-10

    申请号：US15883743

    申请日：2018-01-30

    Applicant: WALMART APOLLO, LLC

    Inventor： Kannan Achan ,  Evren Korpeoglu ,  Abhimanyu Mitra ,  Sinduja Subramaniam

    IPC: G06N99/00 ,  G06N7/00 ,  H04L29/08 ,  G06N20/00 ,  G06Q30/02

    Abstract: Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of: utilizing historical transaction information to derive metric information associated with prior transactions; generating a listing of user-item pairs, each of the user-item pairs identifying a user and an item; executing a machine learning model that is configured to generate a transmission list for sending push notifications; generating a transmission list by selecting user-item pairs based on the conversion probability values and the confidence indicators that are assigned to the user-item pairs; customizing content for the push notifications to include information for items identified by the user-item pairs included in the transmission list; and transmitting the push notifications to the users identified by the user-item pairs included in the transmission list. Other embodiments are disclosed herein.

    AUTOMATIC ITEM GROUPING AND PERSONALIZED DEPARTMENT LAYOUT FOR REORDER RECOMMENDATIONS
    10.
    发明申请
    AUTOMATIC ITEM GROUPING AND PERSONALIZED DEPARTMENT LAYOUT FOR REORDER RECOMMENDATIONS 有权

    公开(公告)号：US20210241353A1

    公开(公告)日：2021-08-05

    申请号：US17163388

    申请日：2021-01-30

    Applicant: Walmart Apollo, LLC

    Inventor： Rahul Sridhar ,  Sinduja Subramaniam ,  Evren Korpeoglu ,  Kannan Achan

    IPC: G06Q30/06

    Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, perform certain acts. The acts can include obtaining reorder likelihood scores for items that a user has ordered historically. The acts also can include grouping the items into groups using a taxonomy. The acts additionally can include adjusting the groups based on a respective number of items in each of the groups and a respective group-specific threshold for each of the groups. The acts further can include ranking the items within the groups based on the reorder likelihood scores. Other embodiments are described.

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