公开(公告)号：US20220318925A1

公开(公告)日：2022-10-06

申请号：US17218079

申请日：2021-03-30

申请人： Intuit Inc.

发明人： Lei Pei ,  Juan Liu ,  Ruobing Lu ,  Ying Sun ,  Heather Elizabeth Simpson ,  Nhung Ho

IPC分类号： G06Q40/00 ,  G06N20/00 ,  G06N5/04

摘要： A method utilizes a framework for transaction categorization personalization. A transaction record is received. a baseline model is selected from a plurality of machine learning models. An account identifier, corresponding to the transaction record using the baseline model, is selected. The account identifier for the transaction record is presented.

公开(公告)号：US20220318898A1

公开(公告)日：2022-10-06

申请号：US17217907

申请日：2021-03-30

申请人： Intuit Inc.

发明人： Lei Pei ,  Juan Liu ,  Ruobing Lu ,  Ying Sun ,  Heather Elizabeth Simpson ,  Nhung Ho

IPC分类号： G06Q40/02 ,  G06N20/00 ,  G06F17/16

摘要： A method categorizes transaction records. A transaction record is received by a server application. The transaction record is encoded with a first machine learning model to obtain a transaction vector, wherein the transaction vector is in a same vector space as multiple account vectors. A second machine learning model executing in the server application, selects an account vector, from the multiple account vectors, corresponding to the transaction vector. An account identifier, corresponding to the account vector, is presented for the transaction record.

公开(公告)号：US11182448B1

公开(公告)日：2021-11-23

申请号：US16526726

申请日：2019-07-30

申请人： INTUIT INC.

发明人： Heather Elizabeth Simpson ,  Xiangling Meng ,  Sameeran Kunche ,  Nhung Ho ,  Vincent Billaut

IPC分类号： G06F16/00 ,  G06F16/9536 ,  G06F16/9032 ,  G06N20/20

摘要： Certain aspects of the present disclosure provide techniques for determining content quality of a set of content item based on generating a score for each content item. An example technique includes using a trained content quality model to generate the score for each content item component. In such example, the model is trained using a calculated set of features associated with text and metadata of a content item in a training data set as well as a quality label for the content item. The model is trained by associating the set of features with the quality label for each content item in the training data.