公开(公告)号：US11907999B2

公开(公告)日：2024-02-20

申请号：US18101269

申请日：2023-01-25

申请人： Walmart Apollo, LLC

发明人： Rahul Iyer ,  Shashank Kedia ,  Anirudha Sundaresan ,  Shubham Gupta ,  Praveenkumar Kanumala ,  Stephen Dean Guo ,  Kannan Achan

IPC分类号： G06Q30/00 ,  G06Q30/0601 ,  G06Q10/087 ,  G06F16/2457

CPC分类号： G06Q30/0631 ,  G06F16/24578 ,  G06Q10/087

摘要： This application relates to apparatus and methods for automatically determining item relevancy based on textual information. In some examples, a computing device receives a search query, and a plurality of items corresponding to the search query. The computing device may identify one or more features of the search query. The computing device may generate relevancy values for each of the items based on the features of the search query, and features of each of the plurality of items. For example, the computing device may generate, for each of the items, a plurality of relevance values, each relevance value generated based on a feature of the search query and corresponding features of the item. The computing device may transmit the generated relevancy values for the plurality of items. In some examples, the computing device may rank the plurality of items based on the generated relevancy values.

公开(公告)号：US11636528B2

公开(公告)日：2023-04-25

申请号：US17162708

申请日：2021-01-29

申请人： Walmart Apollo, LLC

发明人： Anirudha Sundaresan ,  Sneha Gupta ,  Stephen Dean Guo ,  Kannan Achan

IPC分类号： G06Q30/02 ,  G06Q30/0601 ,  G06Q30/0204 ,  G06Q30/0201 ,  G06N7/01

摘要： A seasonal recommender system includes a computing device configured to obtain periodic sales data characterizing a number of purchases made of each item of a plurality of items in a specified period and to obtain periodic buyers data characterizing a number of unique customers of each item in the plurality of items in the specified period. The computing device is further configured to determine a final item seasonality embedding for each item based on the periodic sales data and the periodic buyers data and to determine a final user seasonality embedding for each user based on the periodic purchase data. The computing device is further configured to determine a final user-item score for each item based on the final item seasonality embedding and the final user seasonality embedding and to send a recommendation to a user based on the final user-item score.

公开(公告)号：US11610249B2

公开(公告)日：2023-03-21

申请号：US17147895

申请日：2021-01-13

申请人： Walmart Apollo, LLC

发明人： Rahul Iyer ,  Shashank Kedia ,  Anirudha Sundaresan ,  Shubham Gupta ,  Praveenkumar Kanumala ,  Stephen Dean Guo ,  Kannan Achan

IPC分类号： G06Q30/00 ,  G06Q30/0601 ,  G06Q10/087 ,  G06F16/2457

摘要： This application relates to apparatus and methods for automatically determining item relevancy based on textual information. In some examples, a computing device receives a search query, and a plurality of items corresponding to the search query. The computing device may identify one or more features of the search query. The computing device may generate relevancy values for each of the items based on the features of the search query, and features of each of the plurality of items. For example, the computing device may generate, for each of the items, a plurality of relevance values, each relevance value generated based on a feature of the search query and corresponding features of the item. The computing device may transmit the generated relevancy values for the plurality of items. In some examples, the computing device may rank the plurality of items based on the generated relevancy values.

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：US11544763B2

公开(公告)日：2023-01-03

申请号：US16778905

申请日：2020-01-31

申请人： Walmart Apollo, LLC

发明人： Rahul Radhakrishnan Iyer ,  Shubham Gupta ,  Praveenkumar Kanumala ,  Stephen Dean Guo ,  Kannan Achan

IPC分类号： G06Q30/00 ,  G06Q30/06 ,  G06F3/0482

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 receiving a user identifier, receiving an item identifier, determining user item quantity information related to quantities of the item previously selected by the user, determining a respective household size for each user, and determining aggregate household item quantity information related to quantities of the item previously selected by an aggregate of users of the same household size. If a first threshold level of the quantity of transactions is met, a recommended quantity is based on the user item quantity information, and if not, the recommended quantity is based on the aggregate household item quantity information. The user interface of the electronic device is updated to notify the user of the recommended quantity. Other embodiments are disclosed herein.

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：US20210056609A1

公开(公告)日：2021-02-25

申请号：US16779133

申请日：2020-01-31

申请人： Walmart Apollo, LLC

发明人： Mansi Ranjit Mane ,  Stephen Dean Guo ,  Kannan Achan

IPC分类号： G06Q30/06 ,  G06N20/00 ,  G06F40/20 ,  G06N3/04

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 generating a training dataset comprising training quadruplets; generating a respective text feature vector for each of the four respective items for the each of the training quadruplets using a vector encoder; transforming the respective text feature vector for each of the four respective items; training the shared trainable parameters of the feature representation transformation model; receiving, from a user device a selection of an anchor item from the item catalog; determining, for the anchor item, one or more similar items or one or more complementary items; and sending instructions to display the one or more of the one or more similar items or the one or more of the one or more complementary items on the user device. Other embodiments are disclosed.

公开(公告)号：US11797624B2

公开(公告)日：2023-10-24

申请号：US17696461

申请日：2022-03-16

申请人： Walmart Apollo, LLC

发明人： Rahul Iyer ,  Soumya Wadhwa ,  Surya Prasanna Kumar ,  Praveenkumar Kanumala ,  Stephen Dean Guo ,  Kannan Achan ,  Rahul Ramkumar

IPC分类号： G06F16/9535 ,  G06N3/049 ,  G06F16/903

CPC分类号： G06F16/9535 ,  G06F16/90344 ,  G06N3/049

摘要： In some examples, a system may be configured to generate one or more query attributes for a search query received from a computing device of a user. Additionally, the system may be configured to, based at least in part on historical data of the user including data characterizing one or more items associated with the user, generate relevant item data. In various examples, the relevant item data characterizing a set of relevant items. Moreover, the system may be configured to, based on the relevant item data, the historical data of the user and the one or more query attributes, implement a set of operations that generate a set of personalized search results associated with the search query.

公开(公告)号：US20230245165A1

公开(公告)日：2023-08-03

申请号：US17588873

申请日：2022-01-31

申请人： Walmart Apollo, LLC

发明人： Yuan Feng ,  Dong Xu ,  Stephen Dean Guo

IPC分类号： G06Q30/02

CPC分类号： G06Q30/0246 ,  G06Q30/0204

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, perform: receiving user session activity information and campaign impression information; determining a sample of the user session activity information and the campaign impression information based on a sampling criterion; analyzing the sample using (i) a first logistic regression model and (ii) a second linear regression model; determining a weighting value for the campaign impression information based on a first output of the first logistic regression model and a second output of the second linear regression model; and determining a sub cut lift measurement for the campaign impression information based on a first lift measurement for the campaign impression information and the weighting value for the campaign impression information. Other embodiments are described.