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公开(公告)号：US20230058829A1
公开(公告)日：2023-02-23
申请号：US17407158
申请日：2021-08-19
Applicant: Maplebear Inc. (dba Instacart)
Inventor： Shih-Ting Lin , Jonathan Newman , Min Xie , Haixun Wang
Abstract: An online concierge system receives unstructured data describing items offered for purchase by various warehouses. To generate attributes for products from the unstructured data, the online concierge system extracts candidate values for attributes from the unstructured data through natural language processing. One or more users associate a subset candidate values with corresponding attributes, and the online concierge system clusters the remaining candidate values with the candidate values of the subset associated with attributes. One or more users provide input on the accuracy of the generated clusters. The candidate values are applied as labels to items by the online concierge system, which uses the labeled items as training data for an attribute extraction model to predict values for one or more attributes from unstructured data about an item.
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公开(公告)号：US20230055760A1
公开(公告)日：2023-02-23
申请号：US17405011
申请日：2021-08-17
Applicant: Maplebear Inc.(dba Instacart)
Inventor： Saurav Manchanda , Krishnakumar Subramanian , Haixun Wang , Min Xie
Abstract: An online concierge system trains a classification model as a domain adversarial neural network from training data labeled with source classes from a source domain that do not overlap with target classes from a target domain output by the classification model. The online concierge system maps one or more source classes to a target class. The classification model extracts features from an image, classifies whether an image is from the source domain or the target domain, and predicts a target class for an image from the extracted features. The classification model includes a gradient reversal layer between feature extraction layers and the domain classifier that is used during training, so the feature extraction layers extract domain invariant features from an image.
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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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184.发明申请公开(公告)号：US20220398605A1
公开(公告)日：2022-12-15
申请号：US17343026
申请日：2021-06-09
Applicant: Maplebear, Inc.(dba Instacart)
Inventor： Changyao Chen , Peng Qi , Weian Sheng
Abstract: An online concierge system trains a user interaction model to predict a probability of a user performing an interaction after one or more content items are displayed to the user. This provides a measure of an effect of displaying content items to the user on the user performing one or more interactions. The user interaction model is trained from displaying content items to certain users of the online concierge system and withholding display of the content items to other users of the online concierge system. To train the user interaction model, the user interaction model is applied to labeled examples identifying a user and value based on interactions the user performed after one or more content items were displayed to the user and interactions the user performed when one or more content items were not used.
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公开(公告)号：US20220358443A1
公开(公告)日：2022-11-10
申请号：US17308996
申请日：2021-05-05
Applicant: Maplebear, Inc.(dba Instacart)
Inventor： Houtao Deng , Ji Chen , Chris Sun , Yile Liu , Yijia Chen
Abstract: An online concierge system allows users to order items within discrete time intervals later than a time when an order was received. Each order may require a different set of characteristics for fulfilment by shoppers. Because different shoppers may have different capabilities, it is most efficient to reserve shoppers with specialized characteristics for orders that require them. The online concierge system maintains a set of hierarchical structures for different characteristics of shoppers, with each level in a hierarchical structure having a value. To select a shopper to fulfill an order, the online concierge system scores identifies groups of shoppers having characteristics capable of fulfilling the order based on levels in the hierarchical structure for each characteristic of a group. A shopper from a group having a minimum score is selected to fulfill the order.
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Patent Agency Ranking
公开(公告)号：US20220343660A1
公开(公告)日：2022-10-27
申请号：US17726385
申请日：2022-04-21
Applicant: Maplebear Inc. (dba Instacart)
Inventor： Shiyuan Yang , Shray Chandra
Abstract: An item recognition system uses a top camera and one or more peripheral cameras to identify items. The item recognition system may use image embeddings generated based on images captured by the cameras to generate a concatenated embedding that describes an item depicted in the image. The item recognition system may compare the concatenated embedding to reference embeddings to identify the item. Furthermore, the item recognition system may detect when items are overlapping in an image. For example, the item recognition system may apply an overlap detection model to a top image and a pixel-wise mask for the top image to detect whether an item is overlapping with another in the top image. The item recognition system notifies a user of the overlap if detected.
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公开(公告)号：US20220343395A1
公开(公告)日：2022-10-27
申请号：US17238217
申请日：2021-04-23
Applicant: Maplebear, Inc.(dba Instacart)
Inventor： Amy Luong , Michael Righi , Graham Adeson , Ross Stuart Williams , Aman Jain , Radhika Anand , Ganesh Krishnan
IPC: G06Q30/06
Abstract: For each retailer in the geographic region, an online system predicts a number of orders placed at the retailer and a capacity to fulfill orders during a forecast time period. The capacity of the retailer is predicted based on a number of pickers expected to be available to the retailer during the forecast time period. The online system determines demand for the services of a picker at the retailer based on a comparison of the predicted number of orders and the predicted capacity to fulfill those orders. The online system displays a user interactive map of the geographic region to the picker. The map displays a pin at the location of each retailer in the geographic region, which describes the categorization determined for the retailer. The picker selects a pin, which causes the user interactive map to display a notification characterizing the demand for services at the retailer.
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公开(公告)号：US20220318878A1
公开(公告)日：2022-10-06
申请号：US17220816
申请日：2021-04-01
Applicant: Maplebear, Inc. (dba Instacart)
Inventor： Leho Nigul
Abstract: An online concierge system determines customer preferences based on physical store patterns of the customer and provides search results based on the customer preferences during an online customer ordering session. The online concierge system may obtain customer location data while the customer is shopping in a physical warehouse. The online concierge system maps the customer location data to a warehouse floorplan layout. Based on the locations visited and the time spend at each location in the warehouse, the online concierge system determines that the customer is interested in certain types of items. The online concierge system may use the customer preferences to suggest items during online ordering sessions.
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公开(公告)号：US20220292567A1
公开(公告)日：2022-09-15
申请号：US17196855
申请日：2021-03-09
Applicant: Maplebear, Inc. (dba Instacart)
Inventor： Shishir Kumar Prasad , Sharath Rao Karikurve , Abhay Pawar
IPC: G06Q30/06 , G06Q10/08 , G06F16/28 , G06F16/2457 , G06N20/00
Abstract: An online concierge system accesses a hierarchical taxonomy of products each labeled with a category of the hierarchical taxonomy. The online concierge system receives, from an inventory database, an unlabeled product, which not included in the hierarchical taxonomy. The online concierge system inputs the unlabeled product to a replacement model. The replacement model is trained to output, for each of one or more labeled products from the hierarchical taxonomy, a likelihood that a user would select the labeled product as a replacement for an input product. The online concierge system selects a labeled product from the one or more labeled products based on the likelihoods. The online concierge system adds the unlabeled product to a category of the hierarchical taxonomy based on the selected labeled product.
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公开(公告)号：US11443362B2
公开(公告)日：2022-09-13
申请号：US16677350
申请日：2019-11-07
Applicant: Maplebear, Inc. (dba instacart)
Inventor： Camille van Horne , Philip Goolkasian
IPC: G06Q30/06 , H04L51/046 , G06F3/0482 , G06F3/0485
Abstract: In a delivery service, a picker retrieves items specified in an order by a customer. If a picker encounters an issue with an item in the order, the picker may select, via a user interface, the item and an associated template message, which requests input from the customer regarding a course of action for the item, to send to the customer. The customer may select, via another user interface, a template message describing a course of action for the item. In response to receiving one of a subset of template messages, the online concierge system displays via the user interface, a set of replacement options to the customer, who may select one of the replacement options to be sent to the picker with the template message.
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