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公开(公告)号:US20230196741A1
公开(公告)日:2023-06-22
申请号:US17554474
申请日:2021-12-17
Applicant: SHOPIFY INC.
Inventor: KSHETRAJNA RAGHAVAN , KYLE BRUCE TATE , PENG YU , NIKLAS ITÄNEN , XIAOXIAO LI
IPC: G06V10/774 , G06V10/776 , G06V10/762
CPC classification number: G06V10/7747 , G06V10/776 , G06V10/7635
Abstract: A data partitioning system receives an input dataset for e-commerce products, each sample containing attributes and associated values for each product including at least an image; represents each sample as a node on a graph to provide a graph of nodes for the dataset; measures a relative similarity distance between each pair of nodes based on comparing at least image values for the attributes; determines for each pair of nodes whether they are related if the similarity distance between them is below a defined threshold, and if related, generate an edge between them on the graph; group the connected nodes into a first or a second group such that the grouped nodes have no edges connecting them to nodes in the other group and have a shortest relative similarity distance with each other. The groups are used as training dataset and testing data sets for a supervised machine learning classifier.
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公开(公告)号:US20220067751A1
公开(公告)日:2022-03-03
申请号:US17010366
申请日:2020-09-02
Applicant: SHOPIFY INC.
Inventor: IVAN SANCHEZ , SIAVASH GHORBANI , MICHAEL SCHNEIDER , NIKLAS ITÄNEN
Abstract: A customer may wish to purchase products with a lower associated carbon footprint when shipped, or may wish to know the cost associated with offsetting a product's carbon footprint in order to make informed decisions, while browsing and making purchases online. The computer is faced with the computational challenge of trying to determine a value indicative of the carbon emissions associated with shipping a package, before the package has even shipped. The computation may need to be performed during interactive scenarios, such as while browsing. A system and method are provided in order to present a customer with a carbon emissions indication relating to the shipment of a product without disrupting typical online activity.
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