Facilitating user selection using trend-based joint embeddings

    公开(公告)号:US11928719B2

    公开(公告)日:2024-03-12

    申请号:US17543239

    申请日:2021-12-06

    摘要: Methods, systems, and computer program products for facilitating user selection using trend-based joint embeddings are provided herein. A method includes obtaining a selection of an item in an online catalog; determining a compatible item of the plurality of items at least in part by providing the selected at least one item and at least one previously selected item corresponding to the user to a trend-based machine learning model, wherein the trend-based machine learning model is trained on historical data associated with the item in the online catalog and fine-tuned based on current trend data from multiple data sources; receiving feedback in response to outputting the at least one compatible item; identifying one or more attributes related to the at least one compatible item based on the feedback; and using the trend-based machine learning model to determine at least one additional compatible item based on the one or more attributes.

    RETAIL PRODUCT ASSORTMENT GENERATION AND RECOMMENDATION

    公开(公告)号:US20220067610A1

    公开(公告)日:2022-03-03

    申请号:US17002400

    申请日:2020-08-25

    摘要: One embodiment provides a method, including: receiving information for each of a plurality of products; for each of the plurality of products: predicting a demand for the product; calculating a sustainability score, wherein the sustainability score is based upon a material composition of the product; and computing a similarity score, wherein the computing comprises comparing pairs of products within the plurality of products; generating a plurality of assortment choices from the plurality of products, wherein each of the plurality of assortment choices has a corresponding assortment demand value, assortment sustainability score, and assortment similarity score, wherein the generating comprises utilizing a multi-objective formulation based upon the predicted demand, the calculated sustainability score, and the computed similarity score; and providing the plurality of assortment choices to a user for selection.

    Generating Metadata for Image-Based Querying

    公开(公告)号:US20210019343A1

    公开(公告)日:2021-01-21

    申请号:US16511590

    申请日:2019-07-15

    摘要: Methods, systems, and computer program products for generating metadata for image-based querying are provided herein. A computer-implemented method includes processing a query image against a database by applying a deep learning visual model to the query image and images contained within the database; retrieving a set of multiple images from the database based on the processing; identifying subsets of images among the set of multiple images by analyzing metadata attribute values of the set of multiple images and nearest neighbor distance values between the query image and the multiple images in the set; determining one or more items of metadata attributable to the query image by processing metadata of the subsets of images; and outputting, to a user, the items of metadata in response to the query image.

    Visually Guided Query Processing
    7.
    发明申请

    公开(公告)号:US20200311480A1

    公开(公告)日:2020-10-01

    申请号:US16367500

    申请日:2019-03-28

    摘要: A neural network based search system is provided. A first digital image is analyzed by a user device. A targeted object in the first digital image is determined based, at least in part, on (i) the characteristics of the first digital image and (ii) the features of the targeted object. A vector array is generated based, at least in part, on (i) the first digital image and (ii) the targeted object. The vector array is analyzed by the user device. The targeted object is determined based, at least in part, by the vector array. A plurality of digital images is identified based, at least in part, on the similarity of the plurality of digital images and (i) the first digital image and (ii) the targeted object responsive to identifying a plurality of digital images, a query processing is generated. The query map is generated on a user device.

    ASSORTMENT PLANNING COMPUTER ALGORITHM

    公开(公告)号:US20220188747A1

    公开(公告)日:2022-06-16

    申请号:US17123201

    申请日:2020-12-16

    摘要: Machine logic for selecting a given item for an inventory. This selection of the given item is based, at least in part, upon: (i) an amount of “ensembles” that include the item; (ii) relative popularity of “ensembles” that contain the item; and/or (iii) the relative profitability of ensembles that includes the item. This technology can be provided as part of assortment planning software for retail stores selling items such as: fashionable clothing, furniture sets, jewelry sets, and other types of items that are typically sold in ensembles and have subjective factors (like aesthetics) that play into the attractiveness of the ensemble considered as a whole.

    Generating metadata for image-based querying

    公开(公告)号:US11120073B2

    公开(公告)日:2021-09-14

    申请号:US16511590

    申请日:2019-07-15

    摘要: Methods, systems, and computer program products for generating metadata for image-based querying are provided herein. A computer-implemented method includes processing a query image against a database by applying a deep learning visual model to the query image and images contained within the database; retrieving a set of multiple images from the database based on the processing; identifying subsets of images among the set of multiple images by analyzing metadata attribute values of the set of multiple images and nearest neighbor distance values between the query image and the multiple images in the set; determining one or more items of metadata attributable to the query image by processing metadata of the subsets of images; and outputting, to a user, the items of metadata in response to the query image.

    Computer provided assistance for coordinating gift collaboration

    公开(公告)号:US10949911B2

    公开(公告)日:2021-03-16

    申请号:US15825273

    申请日:2017-11-29

    摘要: A computer scans user data for upcoming events and identifies a potential gift giving event from these events using contextual information about the events to determine the events' nature. The computer identifies a plurality of event attendees and analyzes information about two or more of the event attendees. The computer groups a plurality of people into a group of potential gift collaborators, wherein the plurality of people is chosen from the plurality of attendees. The computer generates a first potential gift list. The computer analyzes gift giving abilities of the group members and selects, based partially upon the analysis, a gift giver. The computer generates a second potential gift list with detailed information about one or more potential gifts wherein the gifts are based partially on the first potential gift list. The computer provides at least a portion of the second potential gift list to the selected gift giver.