公开(公告)号：US20230281399A1

公开(公告)日：2023-09-07

申请号：US17653426

申请日：2022-03-03

Applicant: INTUIT INC.

Inventor： Prarit LAMBA ,  Clifford GREEN ,  Tomer TAL ,  Andrew MATTARELLA-MICKE

IPC: G06F40/58 ,  G06F40/56 ,  G06K9/62

CPC classification number: G06F40/58 ,  G06F40/56 ,  G06K9/6257

Abstract: Embodiments disclosed herein provide language-agnostic routing prediction models. The routing prediction models input text queries in any language and generate a routing prediction for the text queries. For a language that may have sparse training text data, the models, which are machine learning models, are trained using a machine translation to a prevalent language (e.g., English) to the language having sparse training text data -with the original text corpus and the translated text corpus being an input to multi-language embedding layers. The trained machine learning model makes routing predictions for text queries for the language having sparse training text data.

公开(公告)号：US20230385087A1

公开(公告)日：2023-11-30

申请号：US17804828

申请日：2022-05-31

Applicant: INTUIT INC.

Inventor： Tomer TAL ,  Prarit LAMBA ,  Clifford Green ,  Xiaoyu ZENG ,  Neo YUCHEN ,  Andrew MATTARELLA-MICKE

IPC: G06F9/451 ,  G06N20/00 ,  G06F11/34 ,  G06F3/04842

CPC classification number: G06F9/453 ,  G06N20/00 ,  G06F11/3438 ,  G06F3/04842

Abstract: A processor may obtain historic clickstream data indicating a plurality of interactions with a user interface (UI) by a plurality of users. The processor may select at least one user for real-time monitoring by processing, using a machine learning (ML) model, the historic clickstream data and at least one user feature and predicting, from the processing, that the at least one user will utilize a UI resource. The processor may monitor ongoing clickstream data of the selected at least one user and configure the UI resource according to the ongoing clickstream data.