公开(公告)号：US11770407B2

公开(公告)日：2023-09-26

申请号：US17147017

申请日：2021-01-12

申请人： Walmart Apollo, LLC

发明人： Kannan Achan ,  Durga Deepthi Singh Sharma ,  Behzad Shahrasbi ,  Saurabh Agrawal ,  Venugopal Mani ,  Soumya Wadhwa ,  Kamiya Motwani ,  Evren Korpeoglu ,  Sushant Kumar

IPC分类号： H04L9/40 ,  G06Q30/0601 ,  G06N20/00 ,  G06Q30/018 ,  G06Q50/26 ,  G06F16/9535

CPC分类号： H04L63/1466 ,  G06F16/9535 ,  G06N20/00 ,  G06Q30/0185 ,  G06Q30/0631 ,  G06Q50/265

摘要： A recommender system can include a defender computing device that is configured to obtain customer interaction data characterizing customer interactions with an ecommerce marketplace. The defender computing device can also be configured to determine an item recommendation based on the customer interaction data using a trained differentially private recommendation model and send the item recommendation to the customer. The trained differentially private recommendation model is more likely to determine the same item recommendation after poisoned data is injected into the customer interaction data than a recommendation model that is not privately trained.

公开(公告)号：US11763349B2

公开(公告)日：2023-09-19

申请号：US16748753

申请日：2020-01-21

申请人： Walmart Apollo, LLC

发明人： Yokila Arora ,  Morteza Monemizadeh ,  Aditya Mantha ,  Stephen Dean Guo ,  Kannan Achan

IPC分类号： G06Q30/0251 ,  G06Q30/0242 ,  G06Q30/0241

CPC分类号： G06Q30/0271 ,  G06Q30/0242 ,  G06Q30/0277

摘要： This application relates to apparatus and methods for automatically determining and providing digital advertisements to targeted users. In some examples, a computing device receives campaign data identifying items to advertise on a website, and generates campaign user data identifying a user that has engaged all of the items on the website. The computing device may then determine a portion of the users based on a relationship between each user and the campaign user data, and may determine user-item values for each of the items for each user of the portion of users, where each user-item value identifies a relational value between the corresponding user and item. The computing device may then identify one or more of the items to advertise to each user of the portion of users based on the user-item values, and may transmit to a web server an indication of the items to advertise for each user.

公开(公告)号：US11756076B2

公开(公告)日：2023-09-12

申请号：US17187507

申请日：2021-02-26

申请人： Walmart Apollo, LLC

发明人： Kaushiki Nag ,  Kannan Achan ,  Lalitesh Morishetti

IPC分类号： G06Q30/0251 ,  G06N5/04 ,  G06N20/00

CPC分类号： G06Q30/0254 ,  G06N5/04 ,  G06N20/00

摘要： This application relates to apparatus and methods for automatically determining and providing digital recommendations including sponsored items at optimized positions. In some examples, a computing device receives a recommendation request. In response, the computing device obtains a plurality of items based on the user data. The plurality of items includes a plurality of relevant items and a plurality of sponsored items. The computing device then determines a total profit for a combination of the plurality of items by injecting the plurality of promotional items at different position amongst the plurality of relevant items. The plurality of items are presented to the user based at least in part on the total profit and the corresponding combination.

公开(公告)号：US11756065B2

公开(公告)日：2023-09-12

申请号：US17570087

申请日：2022-01-06

申请人： Walmart Apollo, LLC

发明人： Ashish Ranjan ,  Aysenur Inan ,  Sooraj Mangalath Subrahmannian ,  Divya Chaganti ,  Hyun Duk Cho ,  Sushant Kumar ,  Kannan Achan

IPC分类号： G06Q30/02 ,  G06Q30/0211 ,  G06Q30/0204 ,  G06Q30/0226

CPC分类号： G06Q30/0211 ,  G06Q30/0205 ,  G06Q30/0226

摘要： In some examples, a system may be configured to obtain a set of features of a set of users including one or more features of transaction of the set of users and one or more features of engagement data of the set of users. Additionally, the system may be configured to implement a first set of operations that generate output data including a plurality of churn scores, based on the set of features. In some examples, each churn score of the plurality of churn scores being associated with a particular user of the set of users and characterize a likelihood of a churn event of the corresponding user.

公开(公告)号：US11741524B2

公开(公告)日：2023-08-29

申请号：US17163402

申请日：2021-01-30

申请人： Walmart Apollo, LLC

发明人： Sonal Bathe ,  Aleksandra Cerekovic ,  Rahul Sridhar ,  Sinduja Subramaniam ,  Evren Korpeoglu ,  Kannan Achan

IPC分类号： G06Q30/00 ,  G06Q30/0601 ,  G06N20/20 ,  G06N5/04 ,  G06N5/01

CPC分类号： G06Q30/0631 ,  G06N5/01 ,  G06N5/04 ,  G06N20/20 ,  G06Q30/0633 ,  G06Q30/0641

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: generating a feature vector for a user based, at least in part, on historical data pertaining to the user's previous transactions; generating, using a quantity prediction model of a machine learning architecture, a respective item quantity prediction for each of one or more items included in a predicted basket based, at least in part, on the feature vector for the user; and populating a respective quantity selection option for each of the one or more items included in the predicted basket based on the respective item quantity prediction generated for each of the one or more items. Other embodiments are disclosed herein.

公开(公告)号：US20230267524A1

公开(公告)日：2023-08-24

申请号：US17581635

申请日：2022-01-21

申请人： Walmart Apollo, LLC

发明人： Da Xu ,  Jianpeng Xu ,  Sushant Kumar ,  Evren Korpeoglu ,  Kannan Achan

IPC分类号： G06Q30/06 ,  G06F9/50

CPC分类号： G06Q30/0631 ,  G06F9/505 ,  G06Q30/0643

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 a user request via a graphical user interface, the user request corresponding to a user search query for a product; determining whether a first processing machine of the system is operating in a first processing mode or a second processing mode; when the first processing machine is determined to be operating in the first processing mode, analyzing the user request via the first processing machine and using a process, to identify a candidate recommendation system to utilize by: determining a randomized strategy for one or more candidate recommendation systems based on a ratio of a number of the one or more candidate recommender systems, the randomized strategy to be stored in a collected history data; determining model parameters based on the collected history data; and determining the candidate recommendation system from the one or more candidate recommendation systems as a candidate recommendation system with a maximum value for a reward model based on the user request; processing the user request with the candidate recommendation system to identify recommended products to display to the user; and transmitting instructions to modify the graphical user interface to display the recommended products to the user.

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

发明人： Stephen Dean Guo ,  Kannan Achan ,  Venkata Syam Prakash Rapaka

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.

公开(公告)号：US20230245174A1

公开(公告)日：2023-08-03

申请号：US17587485

申请日：2022-01-28

申请人： Walmart Apollo, LLC

发明人： Rishi Rajasekaran ,  Sneha Gupta ,  Yokila Arora ,  Rahul Sridhar ,  Sushant Kumar ,  Evren Korpeoglu ,  Kannan Achan

IPC分类号： G06Q30/02

CPC分类号： G06Q30/0269

摘要： This application relates to apparatus and methods for automatically determining and providing personalized user personas of a customer for specific platforms (e.g., applications). In some examples, a computing device receives a persona request identifying a user and a platform. In response, the computing device obtains user data associated with the user and a plurality of potential user personas from a database. For each of the plurality of potential user personas, the computing device then determines a combination score for the user based on the user data. The combination score indicates user's affinity to a corresponding potential user persona within the platform. The computing device selects at least one potential user persona of the plurality of potential user personas as a final user persona for the user and the platform based on the corresponding combination score.

公开(公告)号：US20230214592A1

公开(公告)日：2023-07-06

申请号：US18185822

申请日：2023-03-17

申请人： Walmart Apollo, LLC

发明人： Shashank Kedia ,  Aditya Mantha ,  Stephen Dean Guo ,  Kannan Achan

IPC分类号： G06F40/284 ,  G06F40/166 ,  G10L15/16 ,  G06F40/30 ,  G06F40/117 ,  G10L15/06

CPC分类号： G06F40/284 ,  G06F40/166 ,  G10L15/16 ,  G06F40/30 ,  G06F40/117 ,  G10L15/063 ,  G10L15/22

摘要： This application relates to apparatus and methods for automatically generating item information, such as item descriptions, and providing the item information to customers. For example, the embodiments may generate and provide personalized item descriptions to customers during conversational interactions in speech-based systems. In some examples, the embodiments determine entities (e.g., attributes) from item information, and apply trained machine learning processes to the extracted entities to generate textual data, such as item descriptions. For example, a computing device may apply a trained natural language processing, such as a trained transformer-based machine learning technique, to the extracted entities to generate the item descriptions. In some examples, the computing device applies post processing techniques to the generated textual data. The generated textual data may include descriptive phrases that are user friendly to customers in an e-commerce system. The textual data can be converted to audio and played to customers.

公开(公告)号：US20230196434A1

公开(公告)日：2023-06-22

申请号：US17556832

申请日：2021-12-20

申请人： Walmart Apollo, LLC

发明人： Luyi Ma ,  Nimesh Sinha ,  Parth Ramesh Vajge ,  Hyun Duk Cho ,  Sushant Kumar ,  Kannan Achan

IPC分类号： G06Q30/06 ,  G06Q30/02

CPC分类号： G06Q30/0631 ,  G06Q30/0641 ,  G06Q30/0201 ,  G06Q30/0256

摘要： Systems and methods for generating and using seasonal affinity scores is disclosed. A set of user-specific historical transaction data is obtained and a user-specific affinity score including at least one of a user-specific season affinity score or a user-specific seasonal theme affinity score is determined by determining one or more product affinity scores for a set of product taxonomies and combining the one or more product affinity scores with one or more product index scores to generate the user-specific affinity score. The product affinity scores are determined by a trained scoring calculation model configured to receive the set of user-specific historical transaction data. One or more interface elements are selected based on the user-specific affinity score and an interface is generated including the one or more interface elements.