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公开(公告)号:US20240078572A1
公开(公告)日:2024-03-07
申请号:US17903360
申请日:2022-09-06
Applicant: Adobe Inc.
Inventor: Michele Saad , Igor Miniailo
CPC classification number: G06Q30/0222 , G06Q30/0625
Abstract: Embodiments provide systems, methods, and computer storage media for prediction and computation of electronic shopping carts. In an example embodiment, for each interaction between an e-shopper and an e-commerce application, one or more predicted electronic shopping carts that represent a combination of items the e-shopper is likely to purchase are generated based on current items in the e-shopper's electronic shopping cart and recent interactions with the e-shopper. For some or all of the predicted electronic shopping carts (e.g., those with top predicted confidence levels), corresponding shopping cart computations (e.g., identifying application promotions, determining a price total for the items in the predicted shopping cart) are executed and cached prior to the e-shopping adding the predicted items. As such, a page configured to visualize the predicted electronic shopping cart with a value retrieved from the cached shopping cart computations (e.g., price total for the predicted electronic shopping cart) is generated.
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公开(公告)号:US11935085B1
公开(公告)日:2024-03-19
申请号:US17903360
申请日:2022-09-06
Applicant: Adobe Inc.
Inventor: Michele Saad , Igor Miniailo
IPC: G06Q30/02 , G06Q30/0207 , G06Q30/0601
CPC classification number: G06Q30/0222 , G06Q30/0625
Abstract: Embodiments provide systems, methods, and computer storage media for prediction and computation of electronic shopping carts. In an example embodiment, for each interaction between an e-shopper and an e-commerce application, one or more predicted electronic shopping carts that represent a combination of items the e-shopper is likely to purchase are generated based on current items in the e-shopper's electronic shopping cart and recent interactions with the e-shopper. For some or all of the predicted electronic shopping carts (e.g., those with top predicted confidence levels), corresponding shopping cart computations (e.g., identifying application promotions, determining a price total for the items in the predicted shopping cart) are executed and cached prior to the e-shopping adding the predicted items. As such, a page configured to visualize the predicted electronic shopping cart with a value retrieved from the cached shopping cart computations (e.g., price total for the predicted electronic shopping cart) is generated.
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