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1. 发明授权

US11487803B2 Systems and methods for keyword categorization 有权
公开(公告)号：US11487803B2
公开(公告)日：2022-11-01
申请号：US16777085
申请日：2020-01-30
申请人： Walmart Apollo, LLC
发明人： Zigeng Wang , Cheng Jie , Wei Shen
IPC分类号： G06F16/35 , G06N20/00 , G06Q30/02
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: receiving a set of keywords from a graphical user interface of an electronic device of a user; pre-processing at least one keyword of the set of keywords; receiving a hierarchical categorization; pre-processing at least one category of the hierarchical categorization; determining a respective similarity between each of the at least one keyword of the set of keywords and each of the at least one category of the hierarchical categorization; determining a respective confidence level of a most likely category in the hierarchical categorization for each of the at least one keyword of the set of keywords using the respective similarity between each of the at least one keyword of the set of keywords and each of the at least one category of the hierarchical categorization; ranking each of the at least one keyword of the set of keywords using a respective importance of each keyword of the set of keywords and the respective confidence level of the most likely category in the hierarchical categorization; and altering a respective arrangement of at least one of the at least one keyword on the graphical user interface on the electronic device of the user based on the ranking. Other embodiments are disclosed herein.

2. 发明申请

US20220245669A1 SYSTEMS AND METHODS FOR TRAINING OF MULTI-OBJECTIVE MACHINE LEARNING ALGORITHMS 有权
公开(公告)号：US20220245669A1
公开(公告)日：2022-08-04
申请号：US17163463
申请日：2021-01-31
申请人： Walmart Apollo, LLC
发明人： Jing Lu , Changzheng Liu , Wei Shen , Lu Wang
IPC分类号： G06Q30/02 , G06N20/00 , G06N5/04
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: receiving one or more objectives and one or more constraints from a user electronic device of a user; generating a combined objective using the one or more objectives; calculating, using the combined objective, a return per click for an advertisement campaign; determining one or more bids based on (a) the return per click for the advertisement campaign and (b) a return on advertising spend for the advertisement campaign; estimating, using a first predictive algorithm and the one or more bids, an average cost per click; estimating an expected number of clicks for the advertisement campaign based on the average cost per click; determining a total amount used of the one or more constraints for the one or more bids based on the expected number of clicks for the advertisement campaign; and when the total amount used of the one or more constraints for the one or more bids exceeds at least one of the one or more constraints, lowering the one or more bids. Other embodiments are disclosed herein.

3. 发明申请

US20220245653A1 SYSTEMS AND METHODS FOR CROSS-CHANNEL MARKETING EXPERIMENTATION MANAGEMENT 有权
公开(公告)号：US20220245653A1
公开(公告)日：2022-08-04
申请号：US17163538
申请日：2021-01-31
申请人： Walmart Apollo, LLC
发明人： Xiaoyong Bai , Wei Shen , Qianqian Zhang , Boning Zhang
IPC分类号： G06Q30/02 , G06Q10/06 , G06F16/23
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: receiving, from a user, one or more pre-designed test parameters of an experiment; generating an audience list table comprising one or more identifications (IDs), wherein the one or more IDs link to one or more identification (ID) levels; removing, using identification (ID) mapping, each member of the audience who has an ID that does not satisfy one or more constraints of the one or more ID levels based on the one or more pre-designed test parameters; evaluating, using an evaluation algorithm, whether bias exists for each treatment group of two or more treatment groups; launching the experiment on the members remaining in the audience; and causing at least one result of the experiment to be displayed. Other embodiments are disclosed.

4. 发明授权

US11176579B2 System, method, and non-transitory computer-readable storage media for assigning offers to a plurality of target customers 有权
公开(公告)号：US11176579B2
公开(公告)日：2021-11-16
申请号：US16565420
申请日：2019-09-09
申请人： Walmart Apollo, LLC
发明人： Mindi Yuan , Wei Shen , Yannis Pavlidis , Jun Li
IPC分类号： G06Q30/02 , G06Q30/06
摘要： A system can perform certain acts. The acts can include determining score values to identify a plurality of target customers associated with a plurality of potential offers. The acts can include receiving bids from the plurality of target customers for the plurality of potential offers. The acts can include performing an iterative process for each respective target customer of the plurality of target customers to take turns to submit a respective bid for each respective potential offer of the plurality of potential offers associated with the respective target customer. The acts can include determining a respective final bid for each of the plurality of potential offers such that an aggregate value for the plurality of target customers that can be maximized across the plurality of potential offers. The acts can include sending instructions to deliver the plurality of offers to at least a portion of the plurality of target customers.

5. 发明申请

US20210241313A1 SYSTEMS AND METHODS FOR KEYWORD CATEGORIZATION 有权
公开(公告)号：US20210241313A1
公开(公告)日：2021-08-05
申请号：US16777055
申请日：2020-01-30
申请人： Walmart Apollo, LLC
发明人： Zigeng Wang , Cheng Jie , Wei Shen
IPC分类号： G06Q30/02 , G06F16/903 , G06F16/906 , G06F16/901
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 determining a respective interaction metric between at least two respective keywords of a plurality of keywords; constructing, using each respective interaction metric, as determined, a graph comprising a plurality of nodes connected by at least one edge; identifying one or more clusters of nodes using the graph; optimizing each cluster of nodes of the one or more clusters of nodes; and facilitating altering a graphical user interface (GUI) of an electronic device based upon a cluster of nodes of the one or more clusters of nodes, as identified and optimized. Other embodiments are disclosed herein.

6. 发明申请

US20210240742A1 SYSTEMS AND METHODS FOR KEYWORD CATEGORIZATION 有权
公开(公告)号：US20210240742A1
公开(公告)日：2021-08-05
申请号：US16777085
申请日：2020-01-30
申请人： Walmart Apollo, LLC
发明人： Zigeng Wang , Cheng Jie , Wei Shen
IPC分类号： G06F16/28 , G06F16/22 , G06Q30/02 , G06N20/00
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: receiving a set of keywords from a graphical user interface of an electronic device of a user; pre-processing at least one keyword of the set of keywords; receiving a hierarchical categorization; pre-processing at least one category of the hierarchical categorization; determining a respective similarity between each of the at least one keyword of the set of keywords and each of the at least one category of the hierarchical categorization; determining a respective confidence level of a most likely category in the hierarchical categorization for each of the at least one keyword of the set of keywords using the respective similarity between each of the at least one keyword of the set of keywords and each of the at least one category of the hierarchical categorization; ranking each of the at least one keyword of the set of keywords using a respective importance of each keyword of the set of keywords and the respective confidence level of the most likely category in the hierarchical categorization; and altering a respective arrangement of at least one of the at least one keyword on the graphical user interface on the electronic device of the user based on the ranking. Other embodiments are disclosed herein.

7. 发明申请

US20210125198A1 SYSTEMS AND METHODS FOR DETERMINING CUSTOMER LIFETIME VALUE 有权
公开(公告)号：US20210125198A1
公开(公告)日：2021-04-29
申请号：US17093195
申请日：2020-11-09
申请人： Walmart Apollo, LLC
发明人： Wei Shen , Lu Wang , Zhao Zhao
IPC分类号： G06Q30/02 , G06N5/04 , G06N20/00
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 storing, for each respective customer of one or more customers, respective customer information in a customer database; predicting, using a machine learning lifetime value (LTV) update model, a respective LTV for each respective customer of the one or more customers; determining an online advertisement for each respective customer of the one or more customers using the respective LTV, as predicted, for each respective customer of the one or more customers; and coordinating displaying the online advertisement for at least a portion of the one or more customers. Other embodiments are disclosed herein.

8. 发明授权

US10769694B2 Systems and methods for identifying candidates for item substitution 有权
公开(公告)号：US10769694B2
公开(公告)日：2020-09-08
申请号：US15883902
申请日：2018-01-30
申请人： Walmart Apollo, LLC
发明人： Zhao Zhao , Wei Shen , Chenxi Liu
IPC分类号： G06Q30/00 , G06Q30/06 , G06N3/02 , G06N7/00
摘要： Systems and methods including one or more processors and one or more non-transitory computer-readable media having computing instructions that are configured to run on the one or more processors and perform acts of receiving a test set comprising potential candidate items for substitution for a target item, determining association scores for each of the potential candidate items in the test set, determining one or more semantic similarity features of the potential candidate items in the test set, determining one or more image similarity features of the potential candidate items in the test set, and creating a substitutive probability model by determining a relative contribution of each of the association scores, the semantic similarity features and the image similarity features to a substitutive probability for the potential candidate items in the test set, with reference to a baseline set of the potential candidate items. Additional embodiments are disclosed herein.

9. 发明申请

US20200272939A1 SYSTEMS AND METHODS FOR BEHAVIOR BASED MESSAGING 审中-公开
公开(公告)号：US20200272939A1
公开(公告)日：2020-08-27
申请号：US16287686
申请日：2019-02-27
申请人： Walmart Apollo, LLC
发明人： Vahid Jalalibarsari , Wei Shen
IPC分类号： G06N20/00 , G06F17/18 , H04L12/58
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 collecting historical data of a user; converting the historical data of the user into at least one feature vector; calculating a first user propensity score for the user using the at least one feature vector; calculating a second user propensity score for the user using the at least one feature vector, the second user propensity score representing a different user propensity than the first user propensity score; normalizing the first user propensity score; normalizing the second user propensity score; using the first user propensity score, as normalized, to place the user into a first segment; using the second user propensity score, as normalized, to place the user into a second segment different than the first segment; and facilitating delivery of a message to the user based on the first segment and the second segment.

10. 发明授权

US11449807B2 Systems and methods for bootstrapped machine learning algorithm training 有权
公开(公告)号：US11449807B2
公开(公告)日：2022-09-20
申请号：US16779382
申请日：2020-01-31
申请人： Walmart Apollo, LLC
发明人： Jingsi Zhang , Xuan Cao , Lu Wang , Wei Shen
IPC分类号： G06N20/20 , G06N5/04
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 receiving a request for a machine learned prediction for an item; determining that a number of entries in item user interaction data of the item is below a predetermined number-of-entries threshold; incorporating category interaction data of a hierarchical category of the item from a predetermined time period into the item user interaction data of the item; determining an initial machine learned prediction for the item using at least the category interaction data, as incorporated into the item user interaction data; and facilitating altering a graphical user interface (GUI) of an electronic device using the initial machine learned prediction for the item. Other embodiments are disclosed herein.

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