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    SYNCHRONIZING ITEM RECOMMENDATIONS ACROSS APPLICATIONS USING MACHINE LEARNING
    2.
    发明申请
    SYNCHRONIZING ITEM RECOMMENDATIONS ACROSS APPLICATIONS USING MACHINE LEARNING 有权

    公开(公告)号：US20230135794A1

    公开(公告)日：2023-05-04

    申请号：US17452732

    申请日：2021-10-28

    申请人： International Business Machines Corporation

    发明人： Fei Qi ,  Zhen Ou Yun ,  Qing Li ,  Shan Gao ,  Lei Lei Hu ,  Xiao Kou ,  Xiao Ping Liu ,  Tian Jiao Pu

    IPC分类号： G06Q30/06 ,  G06N20/00

    摘要： A computer provides item recommendations for transactions. The computer receives a request to conduct a first transaction by a user and receives a first list of items and associated First List Item Metadata “FLIM”. The computer applies a first application ranking methodology to the FLIM and presents an Arranged First List of Items to the user. After completing the transaction, the computer identifies an Updated First List Item “UFLI” having a Predetermined Metadata Changing Condition. The computer identifies, items similar to the UFLI and revises the corpus metadata by applying a correction action to the UFLI and similar items. The computer receives a request to conduct a second transaction by a user and receives a second list of items and Second List Item Metadata “SLIM”. The computer applies a second application ranking methodology to the SLIM and presents an Arranged Second List of Items to the user.