RETAIL PRODUCT LISTING ESCALATION EVENT DETECTION

    公开(公告)号:US20230245136A1

    公开(公告)日:2023-08-03

    申请号:US17589429

    申请日:2022-01-31

    摘要: The systems and methods provided for automatic retail product listing escalation event detection. The method includes aggregating content items from online resources, determining a topic classification of a content item based on a first machine learning (ML) model, determining an escalation classification of the content item based on a second ML model, generating a keyword list including a plurality of keywords from the content item and scores associated with each of the plurality of keywords based on the topic classification and the escalation classification of the content item, selecting a list of top keywords based on performing a keyword frequency analysis on a plurality of keyword lists associated with the plurality of content items, and providing a detected escalation event.

    KEYSTONE ACTIVITY SUGGESTIONS
    95.
    发明公开

    公开(公告)号:US20230237541A1

    公开(公告)日:2023-07-27

    申请号:US17584309

    申请日:2022-01-25

    IPC分类号: G06Q30/02

    CPC分类号: G06Q30/0282 G06Q30/0204

    摘要: The innovation disclosed and claimed herein, in one aspect thereof, comprises systems and methods of keystone activity based suggestions. The innovation detects a keystone activity of a user. The keystone activity is a planned event for the user such as recently purchased tickets to a specific show. Customer data of a financial institution is accessed where the customer data includes data of customers of the financial institution. A set of similar customers to the user is determined. Transaction data of the set of similar customers is determined and analyzed for likelihood of the user wanting to attend a secondary activity that is similar the set of similar customers. The secondary activity can be automatically scheduled for the user based on the keystone activity and the transaction data.