Method for Identifying Questions with Same Semantics and Electronic Device

    公开(公告)号:US20220391400A1

    公开(公告)日:2022-12-08

    申请号:US17764002

    申请日:2020-09-10

    Abstract: A method for identifying questions with same semantics includes creating a user behavior graph based on at least two user logs; determining a first associated question node set based on the user behavior graph and a seed question; calculating, based on the first associated question node set, association scores of questions corresponding to all question nodes in the user behavior graph; using a question corresponding to each associated question node in the first associated question node set as a new seed node, to determine M second associated question node sets; updating, based on the M second associated question node sets, the association scores of the questions corresponding to all the question nodes in the user behavior graph; and determining K questions with top K association scores based on updated association scores of the questions corresponding to all the question nodes in the user behavior graph.

    Method for identifying questions with same semantics and electronic device

    公开(公告)号:US12008003B2

    公开(公告)日:2024-06-11

    申请号:US17764002

    申请日:2020-09-10

    CPC classification number: G06F16/24578 G06F16/26

    Abstract: A method for identifying questions with same semantics includes creating a user behavior graph based on at least two user logs; determining a first associated question node set based on the user behavior graph and a seed question; calculating, based on the first associated question node set, association scores of questions corresponding to all question nodes in the user behavior graph; using a question corresponding to each associated question node in the first associated question node set as a new seed node, to determine M second associated question node sets; updating, based on the M second associated question node sets, the association scores of the questions corresponding to all the question nodes in the user behavior graph; and determining K questions with top K association scores based on updated association scores of the questions corresponding to all the question nodes in the user behavior graph.

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