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公开(公告)号:US20240311756A1
公开(公告)日:2024-09-19
申请号:US18671414
申请日:2024-05-22
Applicant: eBay Inc.
Inventor: Ashok Balasubramanian , Harish Kumar Krishnasamy , Dineshbabu Bhoopalan , SureshKumar Karuppuchamy , Syed Musthafa Sikkander , Ravneet Kaur , Charles Douglas Watkins , Balasubramanian Jayamani
IPC: G06Q10/087 , G06F18/214 , G06N20/00 , G06Q30/0601
CPC classification number: G06Q10/087 , G06F18/214 , G06N20/00 , G06Q30/0621 , G06Q30/0639
Abstract: Systems and methods for providing warehousing services that utilize a machine learning model are provided. The system trains a machine learning model with training data comprising item attributes and transaction locations extracted from past transactions for each item category to identify a plurality of transaction zones where each item category has a highest probability for selling. Subsequently, the system receives a warehouse request to warehouse inventory in a remote location. At least one transaction zone is determined based on item attributes of the inventory by applying the trained machine learning model. Based on the determined at least one transaction zone, the system determines one or more warehouse spaces that satisfy a spacing requirement for the inventory and causes presentation of the warehouse recommendation. The warehouse recommendation can indicate the one or more warehouse spaces.
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公开(公告)号:US20230010509A1
公开(公告)日:2023-01-12
申请号:US17368127
申请日:2021-07-06
Applicant: eBay Inc.
Inventor: Ashok Balasubramanian , Harish Kumar Krishnasamy , Dineshbabu Bhoopalan , SureshKumar Karuppuchamy , Syed Musthafa Sikkander , Ravneet Kaur , Charles Douglas Watkins , Balasubramanian Jayamani
Abstract: Systems and methods for providing warehousing services that utilize a machine learning model are provided. The system trains a machine learning model with training data comprising item attributes and transaction locations extracted from past transactions for each item category to identify a plurality of transaction zones where each item category has a highest probability for selling. Subsequently, the system receives a warehouse request to warehouse inventory in a remote location. At least one transaction zone is determined based on item attributes of the inventory by applying the trained machine learning model. Based on the determined at least one transaction zone, the system determines one or more warehouse spaces that satisfy a spacing requirement for the inventory and causes presentation of the warehouse recommendation. The warehouse recommendation can indicate the one or more warehouse spaces.
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公开(公告)号:US12033114B2
公开(公告)日:2024-07-09
申请号:US17368127
申请日:2021-07-06
Applicant: eBay Inc.
Inventor: Ashok Balasubramanian , Harish Kumar Krishnasamy , Dineshbabu Bhoopalan , Sureshkumar Karuppuchamy , Syed Musthafa Sikkander , Ravneet Kaur , Charles Douglas Watkins , Balasubramanian Jayamani
IPC: G06Q10/087 , G06F18/214 , G06N20/00 , G06Q30/0601
CPC classification number: G06Q10/087 , G06F18/214 , G06N20/00 , G06Q30/0621 , G06Q30/0639
Abstract: Systems and methods for providing warehousing services that utilize a machine learning model are provided. The system trains a machine learning model with training data comprising item attributes and transaction locations extracted from past transactions for each item category to identify a plurality of transaction zones where each item category has a highest probability for selling. Subsequently, the system receives a warehouse request to warehouse inventory in a remote location. At least one transaction zone is determined based on item attributes of the inventory by applying the trained machine learning model. Based on the determined at least one transaction zone, the system determines one or more warehouse spaces that satisfy a spacing requirement for the inventory and causes presentation of the warehouse recommendation. The warehouse recommendation can indicate the one or more warehouse spaces.
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公开(公告)号:US20210158371A1
公开(公告)日:2021-05-27
申请号:US16690884
申请日:2019-11-21
Applicant: eBay Inc.
Inventor: Rutvij Sudhir Dhotey , Ravneet Kaur , Charles Douglas Watkins , Olivia Shing-Ron Yu , Gnanasekar Palaniappan , Umme Habiba Shaik
Abstract: A machine is configured to generating an enhanced user interface for displaying a feed of video reviews that includes verified video reviews. For example, the machine receives, from a client device associated with a user, a request to publish a video review of an item. The request includes a description of the item, including an identifier of the item. The machine accesses a user account associated with the user, and verifies that the user previously purchased the item. The machine causes, based on the verifying that the user previously purchased the item, online publishing of the video review as a verified video review of the item in a feed of video reviews. The feed of video reviews includes one or more verified video reviews. Each of the video reviews is associated with a link to facilitate purchasing the item being reviewed in a particular video review.
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