SYSTEMS AND METHODS FOR DETERMINING SEARCH TOKEN IMPORTANCE USING MACHINE LEARNING ARCHITECTURES

    公开(公告)号:US20240330377A1

    公开(公告)日:2024-10-03

    申请号:US18737975

    申请日:2024-06-08

    IPC分类号: G06F16/953 G06N5/022

    CPC分类号: G06F16/953 G06N5/022

    摘要: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions, that when executed on the one or more processors, cause the one or more processors to execute operations: determining, using a weight determination model of a machine learning architecture, (a) token weights for tokens included in a search query and (b) extraneous tokens from among the tokens based on at least the token weights; comparing the token weights for the tokens to a probability threshold; segregating, based on at least the token weights, the extraneous tokens from a remainder of the tokens; after segregating, identifying first tokens of the remainder of the tokens that satisfy the probability threshold; and identifying, based on the first tokens of the remainder of the tokens that satisfy the probability threshold, search results for the search query. Other embodiments are described.