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1. 发明公开

US20230169109A1 IMAGE SEARCHING USING A FULL-TEXT SEARCH ENGINE 审中-公开
公开(公告)号：US20230169109A1
公开(公告)日：2023-06-01
申请号：US18103979
申请日：2023-01-31
申请人： Walmart Apollo, LLC
发明人： Binwei Yang , Omer Ovenc , Behzad Ahmadi , Cun Mu , Zheng Yan , Guang Yang , Jun Zhao
IPC分类号： G06F16/56 , G06F16/532 , G06F16/901 , G06Q30/0601 , G06F16/583
CPC分类号： G06F16/56 , G06F16/532 , G06F16/9014 , G06Q30/0627 , G06F16/583
摘要： A method including pre-screening second images from a database for a search result based on a first image and also based on respective substring distances between first binary substrings for the first image and respective second binary substrings for each of the second images. The method further can include after the pre-screening, determining a respective image distance for each third image of third images of the search result, wherein the respective image distance is between the first image and the each third image of the third images of the search result, and after determining the respective image distance for each third image of the third images of the search result, when the respective image distance for a particular one of the third images is greater than a predetermined image distance threshold, removing the particular one of the third images from the search result before the search result is displayed on a user device requesting the search result. Other embodiments are disclosed.

2. 发明授权

US11625429B2 Image searching using a full-text search engine 有权
公开(公告)号：US11625429B2
公开(公告)日：2023-04-11
申请号：US16779519
申请日：2020-01-31
申请人： Walmart Apollo, LLC
发明人： Binwei Yang , Omer Ovenc , Behzad Ahmadi , Cun Mu , Zheng Yan , Guang Yang , Jun Zhao
IPC分类号： G06F16/90 , G06F16/56 , G06F16/532 , G06F16/901 , G06Q30/0601 , G06F16/583
摘要： A method including bit-operation and sub-code/substring filtering for image searching using a full-text search engine. The method can include determining a first binary vector comprising first binary substrings for a first image. The method also can include obtaining a respective second binary vector comprising second binary substrings for each of second images from a database. The method additionally can include determining a respective substring distance for each of the binary substring for each of the second images. The respective substring distance can be between at least a pair of a first binary substring of the first binary substrings of the first binary vector and a respective corresponding second binary substring of the second binary substrings of the respective second binary vector for each of the second images. In some embodiments, the method further can include after determining the respective substring distance for each of the binary substring for each of the second images, when the respective substring distance for one or more of the second images is not greater than a predetermined substring distance threshold, including the one or more of the second images in a search result. The method also can include determining a respective image distance for each respective third image of the search result, the respective image distance being between the first image and the each respective third image of the search result. The method additionally can include after determining the respective image distance for the each respective third image of the search result, when the respective image distance is greater than the predetermined image distance threshold, culling the each respective third image from the search result. Other embodiments are disclosed.

3. 发明申请

US20230035109A1 SYSTEMS AND METHODS FOR FACILITATING ONLINE SEARCH BASED ON OFFLINE TRANSACTIONS 有权
公开(公告)号：US20230035109A1
公开(公告)日：2023-02-02
申请号：US17389111
申请日：2021-07-29
申请人： Walmart Apollo, LLC
发明人： Yu Wang , Dianhui Zhu , Ayush Parshotam Ruchandani , Cun Mu , Ying Michelle Sun , Saumya Agarwal
IPC分类号： G06Q30/06 , G06Q20/12 , G06K9/62
摘要： This application relates to systems and methods for facilitating online search based on offline transaction data. In some examples, a disclosed system includes a computing device that is configured to: obtain an online search request that is submitted by a user to an online retailer; generate an online search result comprising a plurality of items that match the query and are available at a first physical retail store associated with the online retailer; generate online search data based on the online search request and the online search result; obtain in-store purchase data of the user, wherein the in-store purchase data comprise at least one offline transaction initiated by the user at one or more physical retail stores associated with the online retailer for purchasing at least one item of the plurality of items within a predetermined time period after generating the online search result; generate, for the query and for each of the at least one item purchased offline, an order feedback signal by associating the in-store purchase data with the online search data; and perform an online search based on the order feedback signal, in response to the query from any user.

4. 发明申请

US20220351239A1 MACHINE LEARNING BASED METHODS AND APPARATUS FOR AUTOMATICALLY GENERATING ITEM RANKINGS 有权
公开(公告)号：US20220351239A1
公开(公告)日：2022-11-03
申请号：US17246179
申请日：2021-04-30
申请人： Walmart Apollo, LLC
发明人： Rashad Mohamed Tawfik Rashad Eletreby , Cun Mu , Zhenrui Wang , Rajyashree Mukherjee
IPC分类号： G06Q30/02 , G06Q30/06 , G06N20/00
摘要： This application relates to apparatus and methods for training machine learning models, and applying trained machine learning models to generate item ranking values. In some examples, user session data for multiple users is received. Based on the user session data, user engagement data is generated characterizing engagements of corresponding items for a search query. Further, a number of examines is determined for each of the corresponding items. The user engagement data for each item is normalized based on the corresponding number of examines, and ranking data is generated based on the normalized user engagement data. The ranking data characterizes a ranking of at least a subset of the items. Further, a machine learning model is trained based on the ranking data. In some examples, the trained machine learning model is applied to a query to generate a ranking of items, and the ranking data is transmitted to a web server.

5. 发明申请

US20210240760A1 IMAGE SEARCHING USING A FULL-TEXT SEARCH ENGINE 有权
公开(公告)号：US20210240760A1
公开(公告)日：2021-08-05
申请号：US16779519
申请日：2020-01-31
申请人： Walmart Apollo, LLC
发明人： Binwei Yang , Omer Ovenc , Behzad Ahmadi , Cun Mu , Zheng Yan , Guang Yang , Jun Zhao
IPC分类号： G06F16/56 , G06F16/901 , G06F16/583 , G06F16/532 , G06Q30/06
摘要： A method including bit-operation and sub-code/substring filtering for image searching using a full-text search engine. The method can include determining a first binary vector of first binary substrings for a first image. The method also can include obtaining a respective second binary vector comprising second binary substrings for each of second images from a database. The method additionally can include determining a respective sub string distance for each of the binary substring for each of the second images. The respective substring distance can be between at least a pair of a first binary sub string of the first binary sub strings of the first binary vector and a respective corresponding second binary sub string of the second binary sub strings of the respective second binary vector for each of the second images. In some embodiments, the method further can include after determining the respective sub string distance for each of the binary sub string for each of the second images, when the respective sub string distance for one or more of the second images is not greater than a predetermined substring distance threshold, including the one or more of the second images in a search result. The method also can include determining a respective image distance for each respective third image of the search result, the respective image distance being between the first image and each respective third image of the search result. The method additionally can include after determining the respective image distance for the each respective third image of the search result, when the respective image distance is less than the predetermined image distance threshold, culling the each respective third image from the search result. Other embodiments are disclosed.

6. 发明申请

US20220358559A1 SYSTEMS AND METHODS FOR IMPROVING ECOMMERCE SEARCH RANKING VIA QUERY-PRICE AFFINITY VALUES 有权
公开(公告)号：US20220358559A1
公开(公告)日：2022-11-10
申请号：US17308477
申请日：2021-05-05
申请人： Walmart Apollo, LLC
发明人： Xinyi Liu , Varun Joshi , Jungwoo Han , Cun Mu , Rajyashree Mukherjee
IPC分类号： G06Q30/06 , G06F16/9535 , G06F16/9538 , G06F16/2457
摘要： A result ranking system can include a computing device that is configured to obtain a plurality of items based on a query and a value corresponding to each item of the plurality of items. The computing system can also be configured to retrieve a value distribution corresponding to the query and generated based on customer interaction data. The computing system can also, for each item of the plurality of items, determine a feature value based on the value distribution and the corresponding value of the item. The computing system can be further configured to transmit the plurality of items to a customer device for display in an arrangement based on the corresponding feature value.

7. 发明申请

US20220261434A1 SYSTEM AND METHOD FOR DETERMINING ITEM LABELS BASED ON ITEM IMAGES 有权
公开(公告)号：US20220261434A1
公开(公告)日：2022-08-18
申请号：US17174662
申请日：2021-02-12
申请人： Walmart Apollo, LLC
发明人： Binwei Yang , Cun Mu
IPC分类号： G06F16/532 , G06F16/953 , G06F16/56 , G06F16/55 , G06N3/04 , G06N3/08
摘要： A method including determining neighboring items from among sample items based on a respective embedding distance between a query image of a query item and a respective image of each of the neighboring items. The each of the sample items can comprise the respective image and at least one respective item label. The method further can include determining a respective normalized weight for each of the neighboring items based on the respective embedding distance between the query image and the respective image of the each of the neighboring items. The method also can include determining a query item label of the query item based on a weighted majority vote by the neighboring items via the respective normalized weight for the each of the neighboring items. Other embodiments are disclosed.

8. 发明申请

US20210232620A1 SYSTEMS AND METHODS FOR IDENTIFYING NON-COMPLIANT IMAGES USING NEURAL NETWORK ARCHITECTURES 有权
公开(公告)号：US20210232620A1
公开(公告)日：2021-07-29
申请号：US16773114
申请日：2020-01-27
申请人： Walmart Apollo, LLC
发明人： Theban Stanley , Binwei Yang , Cun Mu
IPC分类号： G06F16/53 , H04N1/32 , G06K9/46 , G06N3/04 , G06F16/953
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 images at an electronic platform; generating, using a fingerprinting network associated with a neural network architecture, feature embeddings corresponding to the images; generating, using the fingerprinting network, codes based on the feature embeddings; storing the codes in one or more databases; receiving, using a search component associated with the electronic platform, a non-compliant image comprising non-compliant content; and searching the codes in the one or more databases to identify one or more of the images that include non-compliant content similar to, or the same as, the non-compliant content included in the non-compliant image. Other embodiments are disclosed herein.

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