公开(公告)号：US20230245202A1

公开(公告)日：2023-08-03

申请号：US17589003

申请日：2022-01-31

申请人： Walmart Apollo, LLC

发明人： Nimesh Sinha ,  Sneha Gupta ,  Rishi Rajasekaran ,  Yue Xu ,  Yokila Arora ,  Hyun Duk Cho ,  Sushant Kumar ,  Kannan Achan

IPC分类号： G06Q30/06 ,  G06Q30/02

CPC分类号： G06Q30/0631 ,  G06Q30/0271 ,  G06Q30/0204

摘要： A system and method for recommending products based on characteristics of a customer's household. The system and method associates age dependent products with developmental stages on a universal developmental scale and determines a subset of age dependent products based on prior engagements by the customer's household. Using the development stages associated with the subset of age dependent products characteristics of the customer's household may determine specifically the number and ages of juveniles in the customer's household. Performing Gaussian mixture model or multivariate kernel density estimation on the developmental stages associated with the engagements of customer's household, the age(s) and number of juveniles respectively may be determined and recommendations of products and services to the customer or customer's household based upon these characteristics may be advantageously made.

公开(公告)号：US20210398192A1

公开(公告)日：2021-12-23

申请号：US17466277

申请日：2021-09-03

申请人： Walmart Apollo, LLC

发明人： Aditya Mantha ,  Yokila Arora ,  Shubham Gupta ,  Praveenkumar Kanumala ,  Stephen Dean Guo ,  Kannan Achan

IPC分类号： G06Q30/06 ,  G06F16/9035

摘要： A method being implemented via execution of computing instructions configured to run at one or more processors and stored at one or more non-transitory computer-readable media. The method can include training two sets of item embeddings for items in an item catalog and a set of user embeddings for users, using a triple embeddings model, with triplets. The triplets each include a respective first user of the users, a respective first item from the item catalog, and a respective second item from the item catalog, in which the respective first user selected the respective first item and the respective second item in a respective same basket. The method also can include randomly sampling an anchor item from a category of items selected by a user. The method additionally can include generating a list of complementary items using a query vector associated with the user and the anchor item. The query vector is generated for the user and the anchor item using the two sets of item embeddings and the set of user embeddings. Other embodiments are disclosed.

公开(公告)号：US20230245203A1

公开(公告)日：2023-08-03

申请号：US17589071

申请日：2022-01-31

申请人： Walmart Apollo, LLC

发明人： Sneha Gupta ,  Rishi Rajasekaran ,  Nimesh Sinha ,  Yue Xu ,  Yokila Arora ,  Hyun Duk Cho ,  Sushant Kumar ,  Kannan Achan

IPC分类号： G06Q30/06

CPC分类号： G06Q30/0631

摘要： A system and method for recommending products based on characteristics of a customer's household. The system and method associates age dependent products with developmental stages on a universal developmental scale and determines a subset of age dependent products based on prior engagements by the customer's household. Using the development stages associated with the subset of age dependent products characteristics of the customer's household may determine specifically the number and ages of juveniles in the customer's household. Performing Gaussian mixture model or multivariate kernel density estimation on the developmental stages associated with the engagements of customer's household, the age(s) and number of juveniles respectively may be determined and recommendations of products and services to the customer or customer's household based upon these characteristics may be advantageously made.

公开(公告)号：US20220222728A1

公开(公告)日：2022-07-14

申请号：US17147344

申请日：2021-01-12

申请人： Walmart Apollo, LLC

发明人： Shubham Gupta ,  Yokila Arora ,  Gaoyang Wang ,  Aditya Mantha ,  Anirudha Sundaresan ,  Sneha Gupta ,  Praveenkumar Kanumala ,  Stephen Dean Guo ,  Kannan Achan

IPC分类号： G06Q30/06 ,  G06Q30/02

摘要： This application relates to apparatus and methods for automatically determining and providing personalized digital recommendations including sponsored items. In some examples, a computing device receives a recommendation request. In response, the computing device determines an initial set of items for recommendation based on a relevance of associated items to the user and potential revenue from user interactions with the associated items. The computing device then generates final item recommendations by replacing at least one item of the initial set of items with a closest sponsored item that is selected based on a similarity of the closest sponsored item to the corresponding item. The final item recommendations are then presented to the user.

公开(公告)号：US20230214861A1

公开(公告)日：2023-07-06

申请号：US17647283

申请日：2022-01-06

申请人： Walmart Apollo, LLC

发明人： Rahul Radhakrishnan Iyer ,  Sushant Kumar ,  Kannan Achan ,  Shashank Kedia ,  Sneha Gupta ,  Yokila Arora

IPC分类号： G06Q30/02 ,  G06N20/00 ,  G06V10/776

CPC分类号： G06Q30/0202 ,  G06Q30/0201 ,  G06N20/00 ,  G06V10/776

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 data 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 conversion scores, based on the set of features. In some examples, each conversion score of the plurality of conversion scores are associated with a particular user of the set of users and characterize a likelihood of a conversion event of the corresponding user changing from a trial-member status to a full-member status prior to a predetermined future time.

公开(公告)号：US11562401B2

公开(公告)日：2023-01-24

申请号：US16455274

申请日：2019-06-27

申请人： Walmart Apollo, LLC

发明人： Yokila Arora ,  Aditya Mantha ,  Praveenkumar Kanumala ,  Stephen Dean Guo ,  Kannan Achan

IPC分类号： G06Q30/02 ,  G06N3/08 ,  G06Q30/06

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：US20220222706A1

公开(公告)日：2022-07-14

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： G06Q30/02 ,  G06Q30/06

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.

公开(公告)号：US11308543B1

公开(公告)日：2022-04-19

申请号：US17129539

申请日：2020-12-21

申请人： Walmart Apollo LLC

发明人： Aditya Mantha ,  Shubham Gupta ,  Anirudha Sundaresan ,  Gaoyang Wang ,  Shashank Kedia ,  Yokila Arora ,  Parveenkumar Kanumala ,  Stephen Dean Guo ,  Kannan Achan

IPC分类号： G06Q30/00 ,  G06Q30/06 ,  G06F16/9535 ,  G06F16/9538 ,  G06Q30/02 ,  G06F16/2457 ,  G06F3/14

摘要： This application relates to apparatus and methods for automatically determining and providing carousels specifically curated for a user. In some examples, a computing device obtains user transaction data identifying in-store and/or online transactions, and user engagement data identifying user interactions with items and carousels from user's prior sessions. The computing device determines a sequential order for presentation of carousels with a set of item recommendations. For example, the computing device scores each potential carousel based on prior user interactions and transactions with items and carousels. The carousels are then ranked and subsequently presented to the user based on their corresponding scores.

公开(公告)号：US12020276B1

公开(公告)日：2024-06-25

申请号：US18104123

申请日：2023-01-31

申请人： Walmart Apollo, LLC

发明人： Aysenur Inan ,  Keerthi Gopalakrishnan ,  Rahul Radhakrishnan Iyer ,  Sneha Gupta ,  Divya Chaganti ,  Yokila Arora ,  Kamilia Ahmadi ,  Hyun Duk Cho ,  Sushant Kumar ,  Kannan Achan

IPC分类号： G06Q30/02 ,  G06Q30/0204 ,  G06Q30/0207

CPC分类号： G06Q30/0224 ,  G06Q30/0205 ,  G06Q30/0236

摘要： Systems and methods utilizing a classification model and a ranking model are disclosed. A user identifier is received and a user profile is generated. The user profile includes a plurality of user features. The user profile is classified into a classification using a trained classification model. The trained classification model receives a first subset of the plurality of user features. A set of communication elements is ranked using a trained ranking model. The trained ranking model receives a second subset of the plurality of user features. An electronic communication including a plurality of interface elements is generated. The plurality of interface elements includes at least one communication element selected from the ranked set of communication elements in descending ranked order. A type of the electronic communication is selected based on the classification of the user profile.

公开(公告)号：US11836782B2

公开(公告)日：2023-12-05

申请号：US17466277

申请日：2021-09-03

申请人： Walmart Apollo, LLC

发明人： Aditya Mantha ,  Yokila Arora ,  Shubham Gupta ,  Praveenkumar Kanumala ,  Stephen Dean Guo ,  Kannan Achan

IPC分类号： G06Q30/00 ,  G06Q30/0601 ,  G06F16/9035

CPC分类号： G06Q30/0631 ,  G06F16/9035 ,  G06Q30/0635 ,  G06Q30/0641

摘要： A method being implemented via execution of computing instructions configured to run at one or more processors and stored at one or more non-transitory computer-readable media. The method can include training two sets of item embeddings for items in an item catalog and a set of user embeddings for users, using a triple embeddings model, with triplets. The triplets each include a respective first user of the users, a respective first item from the item catalog, and a respective second item from the item catalog, in which the respective first user selected the respective first item and the respective second item in a respective same basket. The method also can include randomly sampling an anchor item from a category of items selected by a user. The method additionally can include generating a list of complementary items using a query vector associated with the user and the anchor item. The query vector is generated for the user and the anchor item using the two sets of item embeddings and the set of user embeddings. Other embodiments are disclosed.