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公开(公告)号：US11941044B2
公开(公告)日：2024-03-26
申请号：US16259822
申请日：2019-01-28
申请人： Walmart Apollo, LLC
IPC分类号： G06F16/56 , G06F16/21 , G06F16/50 , G06F16/535 , G06F16/9535 , G06N3/08
CPC分类号： G06F16/535 , G06F16/214 , G06F16/50 , G06F16/56 , G06F16/9535 , G06N3/08
摘要： A method including training a recurrent neural network model to create a trained model based at least in part on: (a) first images associated with first items on a website, (b) first search terms used by users of the website to search for the first items on the website, and (c) personal features of the users. The method also can include receiving an input image that was uploaded by a current user. The method additionally can include obtaining a user encoded representation vector for the current user based on a set of personal features of the current user. The method further can include generating an image encoded representation vector for the input image. The method additionally can include deriving search terms that are personalized to the current user for the one or more items depicted in the input image, using the trained model and based on the user encoded representation vector for the current user and the image encoded representation vector for the input image. Other embodiments are disclosed.
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公开(公告)号：US11860880B2
公开(公告)日：2024-01-02
申请号：US16989839
申请日：2020-08-10
申请人： Walmart Apollo, LLC
IPC分类号： G06F16/2457 , G06N20/00 , G06F16/248 , G06F16/28 , G06F16/9536
CPC分类号： G06F16/24578 , G06F16/248 , G06F16/285 , G06F16/9536 , G06N20/00
摘要： A system including one or more processors and one or more non-transitory media storing computer instructions configured to run on the one or more processors and perform: identifying a first sub-population of case individuals from a gross population of the case individuals; presenting first test content to a first test sub-population of the case individuals, the first test content is selected according to a first statistical model; measuring a first test sub-population average feedback metric based on first test content feedback provided from the first test sub-population of the case individuals; determining that the first test sub-population average feedback metric exceeds a first control population average feedback metric of a first control population of the case individuals; and determining that a probability value for a difference between the first test sub-population average feedback metric and the first control population average feedback metric is less than a predetermined significance level value. Other embodiments are disclosed.
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公开(公告)号：US20220215428A1
公开(公告)日：2022-07-07
申请号：US17706300
申请日：2022-03-28
申请人： Walmart Apollo, LLC
IPC分类号： G06Q30/02
摘要： A method including training a logistic regression model to create a trained model to provide probabilities of users clicking on emails of one or more email campaigns within each of multiple different time periods. Input predictor variables of the logistic regression model include (i) user feature data including personal user features and online activity history for users in the multiple different time periods and (ii) email feature data including sent times and item category data for multiple different emails in the one or more email campaigns. Output dependent variables of the logistic regression model include responses by the users to the one or more email campaigns. The method also includes triggering sending a first email of the one or more email campaigns to a first user of the users at a selected time period based at least in part on the trained model. Other embodiments are disclosed.
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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：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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公开(公告)号：US11734746B2
公开(公告)日：2023-08-22
申请号：US17461723
申请日：2021-08-30
申请人： Walmart Apollo, LLC
IPC分类号： G06Q30/06 , G06Q30/0601 , G06N3/08 , G06F16/9535 , G06F16/2457 , G06F18/22 , G06N3/045
CPC分类号： G06Q30/0631 , G06F16/24578 , G06F16/9535 , G06F18/22 , G06N3/045 , G06N3/08
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: inputting one or more pairs of digital images into a neural network; determining, using the neural network, a respective contrastive loss for each respective pair of digital images of the one or more pairs of digital images; receiving one or more new digital images; and determining, using the neural network, the one or more new digital images and the respective contrastive loss, at least one image to which the one or more new digital images is similar. Other embodiments are disclosed herein.
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公开(公告)号：US20220383390A1
公开(公告)日：2022-12-01
申请号：US17878306
申请日：2022-08-01
申请人： Walmart Apollo, LLC
摘要： A method including a user who has brand affinities about a product brand or a product brand category. The method can include analyzing whether the user has brand affinities for the product brand or the brand category with two binary classification models that can include (a) a model one to determine an affinity to a particular product brand and (b) a model two to determine an affinity to a particular product brand category. The method also can include analyzing whether the user has affinities for a similar product brand or a similar product brand category by a model three neural network. The method can include displaying recommendations and the promotions for a product brand, a product brand category, a similar product brand, or a similar product brand category to the user. Other embodiments are disclosed.
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公开(公告)号：US11288700B2
公开(公告)日：2022-03-29
申请号：US16259626
申请日：2019-01-28
申请人： Walmart Apollo, LLC
摘要： A method including tracking first data including responses by users to email campaigns. The method also can include generating a user feature set for the users, the user feature set including personal features of each of the users and online activity history for each of the users across a first set of time periods. The method additionally can include generating an email feature set for the emails in the email campaigns. The method further can include training a logistic regression model to create a trained model using the first data, the user feature set, and the email feature set to provide a probability of a user of the users clicking on an email of the emails within each time period of a second set of time periods. The method additionally can include triggering sending a first email of the email campaigns to a first user of the users at a selected time period of the second set of time periods based at least in part on the trained model. Other embodiments are disclosed.
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公开(公告)号：US11010784B2
公开(公告)日：2021-05-18
申请号：US15420678
申请日：2017-01-31
申请人： WALMART APOLLO, LLC
IPC分类号： G06Q30/02 , G06F16/9535 , G06F16/33 , G06F16/35 , G06F16/332
摘要： In many embodiments, the method can comprise receiving a search query from a search by a user and determining a question to present to the user. In many embodiments, determining the question to present to the user can comprise evaluating a user profile associated with the user, evaluating the search query, evaluating one or more user actions during a current browse session of the user, and selecting the question from a set of questions. In some embodiments, the method can further comprise presenting the question to the user when a confidence score associated with the question reaches or exceeds a predetermined threshold. Other embodiments of related methods and systems are also provided.
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公开(公告)号：US20230252513A1
公开(公告)日：2023-08-10
申请号：US18137309
申请日：2023-04-20
申请人： Walmart Apollo, LLC
IPC分类号： G06Q30/0207 , G06Q30/0204 , G06Q30/0601
CPC分类号： G06Q30/0224 , G06Q30/0204 , G06Q30/0631
摘要： A system comprising 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 comprising: identifying a segment of users who are value conscious about a product by: evaluating a number of activities of the users indicating whether or not the users are value conscious for the product; and generating, using a conditional probability equation, a probability that a user of the users will show interest in the product; and transmitting instructions to display, for viewing by the user, a recommendation for the product, wherein the recommendation is based on the probability being above a threshold that the user will show interest in the product. Other embodiments are disclosed herein.
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