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.

公开(公告)号：US12072839B2

公开(公告)日：2024-08-27

申请号：US17544705

申请日：2021-12-07

Applicant: GOOGLE LLC

Inventor： Weize Kong ,  Mingyang Zhang ,  Michael Bendersky ,  Marc Alexander Najork ,  Mike Colagrosso ,  Brandon Vargo ,  Remy Burger

IPC: G06F16/11 ,  G06F16/18

CPC classification number: G06F16/122 ,  G06F16/18

Abstract: Techniques are described herein for enabling more computationally efficient organization of files within a cloud storage system. A method includes: receiving information identifying a document and a set of folders; for each folder in the set of folders, using a trained model to predict a similarity measure between the folder and the document; for each folder in the set of folders, determining a score for the folder based on the predicted similarity measure for the folder; selecting a candidate folder from the set of folders using the scores of the folders within the set of folders; and providing, on a user interface, a selectable option to associate the document with the candidate folder.

公开(公告)号：US20230177004A1

公开(公告)日：2023-06-08

申请号：US17544705

申请日：2021-12-07

Applicant: GOOGLE LLC

Inventor： Weize Kong ,  Mingyang Zhang ,  Michael Bendersky ,  Marc Alexander Najork ,  Mike Colagrosso ,  Brandon Vargo ,  Remy Burger

IPC: G06F16/11 ,  G06F16/18

CPC classification number: G06F16/122 ,  G06F16/18

Abstract: Techniques are described herein for enabling more computationally efficient organization of files within a cloud storage system. A method includes: receiving information identifying a document and a set of folders; for each folder in the set of folders, using a trained model to predict a similarity measure between the folder and the document; for each folder in the set of folders, determining a score for the folder based on the predicted similarity measure for the folder; selecting a candidate folder from the set of folders using the scores of the folders within the set of folders; and providing, on a user interface, a selectable option to associate the document with the candidate folder.