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公开(公告)号:US20230394551A1
公开(公告)日:2023-12-07
申请号:US18236371
申请日:2023-08-21
Applicant: Maplebear, Inc.
Inventor: Tyler Russell Tate , Jason Scott , Logan William Murdock , Tejaswi Tenneti
IPC: G06Q30/0601 , G06F16/9538 , G06Q30/0283 , G06Q10/087
CPC classification number: G06Q30/0631 , G06Q30/0635 , G06F16/9538 , G06Q30/0603 , G06Q30/0283 , G06Q30/0641 , G06Q10/087 , G06Q30/0625 , G06Q30/0617
Abstract: An online system provides options for selection by a user. The online system receives a query entered on a client device. The online system queries an item database to retrieve a set of items related to the query and assigns each item to a product category in a predefined taxonomy that maps items to product categories. The online system inputs each item into a prediction model trained to predict a probability that an item is available at a warehouse location. The online system determines that a first product category has low availability based on predicted probabilities for items in the first product category. Responsive to determining that a first product category has low availability, the online system generates a generic item for the first product category and sends a list of items including the generic item to the client device for display responsive to the query.
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公开(公告)号:US20220414746A1
公开(公告)日:2022-12-29
申请号:US17929797
申请日:2022-09-06
Applicant: Maplebear, Inc. (dba Instacart)
Inventor: Tyler Russell Tate , Jason Scott , Logan William Murdock , Tejaswi Tenneti
IPC: G06Q30/06 , G06F16/9538 , G06Q30/02 , G06Q10/08
Abstract: An online system provides options for selection by a user. The online system receives a query entered on a client device. The online system queries an item database to retrieve a set of items related to the query and assigns each item to a product category in a predefined taxonomy that maps items to product categories. The online system inputs each item into a prediction model trained to predict a probability that an item is available at a warehouse location. The online system determines that a first product category has low availability based on predicted probabilities for items in the first product category. Responsive to determining that a first product category has low availability, the online system generates a generic item for the first product category and sends a list of items including the generic item to the client device for display responsive to the query.
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公开(公告)号:US11776042B2
公开(公告)日:2023-10-03
申请号:US17929797
申请日:2022-09-06
Applicant: Maplebear, Inc.
Inventor: Tyler Russell Tate , Jason Scott , Logan William Murdock , Tejaswi Tenneti
IPC: G06Q30/0601 , G06F16/9538 , G06Q30/0283 , G06Q10/087
CPC classification number: G06Q30/0631 , G06F16/9538 , G06Q10/087 , G06Q30/0283 , G06Q30/0603 , G06Q30/0617 , G06Q30/0625 , G06Q30/0635 , G06Q30/0641
Abstract: An online system provides options for selection by a user. The online system receives a query entered on a client device. The online system queries an item database to retrieve a set of items related to the query and assigns each item to a product category in a predefined taxonomy that maps items to product categories. The online system inputs each item into a prediction model trained to predict a probability that an item is available at a warehouse location. The online system determines that a first product category has low availability based on predicted probabilities for items in the first product category. Responsive to determining that a first product category has low availability, the online system generates a generic item for the first product category and sends a list of items including the generic item to the client device for display responsive to the query.
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公开(公告)号:US11468493B2
公开(公告)日:2022-10-11
申请号:US16984443
申请日:2020-08-04
Applicant: Maplebear, Inc.
Inventor: Tyler Russell Tate , Jason Scott , Logan William Murdock , Tejaswi Tenneti
IPC: G06Q30/06 , G06F16/9538 , G06Q30/02 , G06Q10/08
Abstract: An online system provides options for selection by a user. The online system receives a query entered on a client device. The online system queries an item database to retrieve a set of items related to the query and assigns each item to a product category in a predefined taxonomy that maps items to product categories. The online system inputs each item into a prediction model trained to predict a probability that an item is available at a warehouse location. The online system determines that a first product category has low availability based on predicted probabilities for items in the first product category. Responsive to determining that a first product category has low availability, the online system generates a generic item for the first product category and sends a list of items including the generic item to the client device for display responsive to the query.
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