Suggesting query terms
    4.
    发明授权

    公开(公告)号:US12111868B2

    公开(公告)日:2024-10-08

    申请号:US17474456

    申请日:2021-09-14

    IPC分类号: G06F16/9032

    CPC分类号: G06F16/90324

    摘要: A computer-implemented method is provided for suggesting a query term. The method includes obtaining a seed term and a candidate term. The method further includes retrieving two nodes indicating the seed term and the candidate term respectively from a semi-structured corpora. The method also includes determining, by a processor device, whether the candidate term includes details of information on the seed term based on a positional relation between the two nodes in the semi-structured corpora. The method additionally includes suggesting the candidate term as an additional query term in response to a positive determination. The method further includes performing the query with the candidate term as the additional query term in response to a suggestion of use acceptance to enhance query answer retrieval results.

    Article processing method, electronic device, and program product

    公开(公告)号:US12106228B2

    公开(公告)日:2024-10-01

    申请号:US17323142

    申请日:2021-05-18

    摘要: Embodiments of the present disclosure relate to an article processing method, electronic device, and computer program product. The method includes: determining, based on content of a target article, a target article vector associated with the target article; acquiring a reference article vector set associated with a reference article set; and determining, based on a distance in an article vector space between the target article vector and a reference article vector in the reference article vector set, a reference article vector associated with the target article vector in the reference article vector set as an association article vector. By using the technical solution of the present disclosure, an association article associated with a target article can be accurately provided based on the target article selected by a user, so that reports on the target article and its association articles can be further provided to the user for analysis and selection.