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公开(公告)号:US12093979B2
公开(公告)日:2024-09-17
申请号:US17147980
申请日:2021-01-13
申请人: Walmart Apollo, LLC
发明人: Yokila Arora , Gaoyang Wang , Shashank Kedia , Shubham Gupta , Aditya Mantha , Praveenkumar Kanumala , Stephen Dean Guo , Kannan Achan
IPC分类号: G06Q30/0251 , G06Q30/0601
CPC分类号: G06Q30/0256 , G06Q30/0253 , G06Q30/0631
摘要: This application relates to apparatus and methods for providing recommended items to advertise. In some examples, a computing device determines a first set of items for recommendation based on historical user data associated with a user, and a second set of items for recommendation based on real-time user session data for the user. The computing device may then determine a subset of the first set of items based on associated scores and a predetermined threshold number of first items that can be presented for optimal user interaction. The computing device may generate a set of item recommendations by combining the subset of the first set of items and at least one of the second set of items to present to the user as advertisements.
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公开(公告)号:US20240257216A1
公开(公告)日:2024-08-01
申请号:US18427118
申请日:2024-01-30
申请人: Walmart Apollo, LLC
发明人: Rahul Sridhar , Luyi Ma , Sinduja Subramaniam , Shiqin Cai , Jianpeng Xu , Nikhil Shripad Thakurdesai , Evren Korpeoglu , Kannan Achan
IPC分类号: G06Q30/0601 , G06Q30/0201
CPC分类号: G06Q30/0631 , G06Q30/0201 , G06Q30/0625
摘要: 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.
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公开(公告)号:US20240257211A1
公开(公告)日:2024-08-01
申请号:US18103236
申请日:2023-01-30
申请人: Walmart Apollo, LLC
IPC分类号: G06Q30/0601 , G06Q30/0202
CPC分类号: G06Q30/0631 , G06Q30/0202 , G06Q30/0641
摘要: 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.
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公开(公告)号:US20240256578A1
公开(公告)日:2024-08-01
申请号:US18104184
申请日:2023-01-31
申请人: Walmart Apollo, LLC
发明人: Ankur Bhardwaj , Afroza Ali , Kannan Achan
IPC分类号: G06F16/28 , G06F16/22 , G06F16/901
CPC分类号: G06F16/288 , G06F16/2237 , G06F16/9024
摘要: Systems and methods of generating interfaces including recommended items selected by a graph-based cold-start (GCS) model are disclosed. A request for an interface is received and a set of interface items is generated for inclusion in the interface. The set of interface items is selected, at least in part, by a GCS model including a semantic similarity component and a viewed-also-viewed component. The set of interface items is generated based on a combination of an output of the semantic similarity component and an output of the viewed-also-viewed component. The interface including the set of interface items is generated and transmitted to a system that generated the request for the interface.
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公开(公告)号:US20240249340A1
公开(公告)日:2024-07-25
申请号:US18623691
申请日:2024-04-01
申请人: Walmart Apollo, LLC
发明人: Luyi Ma , Hyun Duk Cho , Sushant Kumar , Kannan Achan
IPC分类号: G06Q30/0601 , G06F18/22 , G06N7/01
CPC分类号: G06Q30/0631 , G06F18/22 , G06N7/01 , G06Q30/0633 , G06Q30/0641
摘要: 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, cause the one or more processors to perform operations: generating, using a trained machine-learning model, personalized product-type metrics for a user based on historic activity of the user and product-type pairs in an item taxonomy; determining top product types for the user based on an anchor item; determining a set of first items associated with the top product types; ranking each item in the set of first items for (i) the anchor item and (ii) for each item in the set of first items; and selecting, based on the ranking, a set of top items from the set of first items to be personalized complementary item recommendations for the user based on the anchor item. Other embodiments are described.
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公开(公告)号:US20240220286A1
公开(公告)日:2024-07-04
申请号:US18148254
申请日:2022-12-29
申请人: Walmart Apollo, LLC
发明人: Ali Arsalan Yaqoob , Yue Xu , Hyun Duk Cho , Sushant Kumar , Kannan Achan
摘要: Systems and methods of generating an interface including elements related to a next best state prediction are disclosed. A request for an interface including a user identifier is received. A next state prediction engine receives a sequence unit set including at least one sequence unit associated with the user identifier and a set of features associated with the at least one sequence unit and generates at least one next state prediction using a trained sequential prediction model. The trained sequential prediction model is configured to receive the sequence unit set and the set of features for the at least one sequence unit and output at least one predicted next state for the sequence unit set. An interface generation engine generates an interface including at least one element related to the at least one predicted next state and transmits the interface to a user device associated with the user identifier.
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公开(公告)号:US12008625B2
公开(公告)日:2024-06-11
申请号:US17321922
申请日:2021-05-17
申请人: Walmart Apollo, LLC
IPC分类号: G06Q30/00 , G06F16/9535 , G06F16/955 , G06Q10/04 , G06Q10/087 , G06Q30/0601
CPC分类号: G06Q30/0631 , G06F16/9535 , G06F16/955 , G06Q10/04 , G06Q10/087
摘要: A system including 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: coordinating displaying a personalized list of recommended items on a graphical user interface of a user device of a user; determining a personal replenishment cycle for an item of a set of items previously purchased by the user; increasing available storage space in the one or more non-transitory computer-readable media of the system by removing a first item from the set of items to identify that the user has stopped purchasing the first item; and increasing a network bandwidth of the system by reducing a number of database requests for the set of items previously purchased by the user. Other embodiments are disclosed.
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公开(公告)号:US12008622B2
公开(公告)日:2024-06-11
申请号:US16752536
申请日:2020-01-24
申请人: Walmart Apollo, LLC
发明人: Hyun Duk Cho , Swati Bhatt , Vidya Sagar Kalidindi , Kamiya Motwani , Sushant Kumar , Kannan Achan
IPC分类号: G06Q30/00 , G06Q30/0201 , G06Q30/0601
CPC分类号: G06Q30/0629 , G06Q30/0201 , G06Q30/0635 , G06Q30/0641
摘要: A system includes a computing device configured to obtain item attribute data that corresponds to a characteristic of an item ordered by a customer on an e-commerce platform and a common characteristic of a plurality of substitution items. The computing device is also configured to obtain customer attribute data identifying preferences of the customer and to determine a preference score for each substitution item in the plurality of substitution items based on the item attribute data and the customer attribute data. The preference score indicates a likelihood that the customer will accept one of the plurality of substitution items as a replacement for the item ordered by the customer. The computing device is also configured to rank each substitution item in the plurality of substitution items based on the preference scores.
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公开(公告)号:US11847402B2
公开(公告)日:2023-12-19
申请号:US17163370
申请日:2021-01-30
申请人: Walmart Apollo, LLC
IPC分类号: G06F40/106 , G06F9/451 , G06N3/08
CPC分类号: G06F40/106 , G06F9/451 , G06N3/08
摘要: Systems and methods for customizing an interface are disclosed. Interaction data is received for at least one interaction with a network environment and an intent of the at least one interaction is identified based on the interaction data. A layout is selected for a user interface based on the identified intent. The layout includes at least one zone. The at least one zone of the layout is populated with one or more modules and the each of the one or more modules is populated with content based on the identified intent
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公开(公告)号:US11811881B2
公开(公告)日:2023-11-07
申请号:US17578323
申请日:2022-01-18
申请人: Walmart Apollo, LLC
IPC分类号: G06F16/00 , H04L67/306 , G06Q30/0201 , G06F16/2452 , G06F16/2457
CPC分类号: H04L67/306 , G06F16/2457 , G06F16/24526 , G06Q30/0201
摘要: A system can include one or more processing modules and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processing modules and perform receiving, from an electronic device, a search query from a user of a plurality of users; processing first data; and facilitating displaying a set of items. Processing the first data can comprise determining one or more keywords by capturing the one or more keywords during a time window; creating a feature set of second data associated with at least a portion of the plurality of users; determining a set of items of the item set as being based at least in part on an item vector representation and a keyword vector representation; determining a respective purchase probability associated with each item of the set of items of the item set; ranking the set of items.
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