公开(公告)号：US20230267277A1

公开(公告)日：2023-08-24

申请号：US18010727

申请日：2020-06-15

Applicant: Google LLC

Inventor： Weize Kong ,  Michael Bendersky ,  Marc Najork ,  Rama Kumar Pasumarthi ,  Zhen Qin ,  Rolf Jagerman

IPC: G06F40/30 ,  G06N20/00 ,  G06F16/9538 ,  G06F16/9535

CPC classification number: G06F40/30 ,  G06N20/00 ,  G06F16/9538 ,  G06F16/9535

Abstract: Systems and methods of the present disclosure are directed to a method for training a machine-learned semantic matching model. The method can include obtaining a first and second document and a first and second activity log. The method can include determining, based on the first document activity log and the second document activity log, a relation label indicative of whether the documents are related. The method can include inputting the documents into the model to receive a semantic similarity value representing an estimated semantic similarity between the first document and the second document. The method can include evaluating a loss function that evaluates a difference between the relation label and the semantic similarity value. The method can include modifying values of parameters of the model based on the loss function.