The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 12, 2024

Filed:

Oct. 11, 2022
Applicant:

Alibaba Group Holding Limited, Grand Cayman, KY;

Inventors:

Shaofei Xue, Hangzhou, CN;

Jiaxing Zhang, Hangzhou, CN;

Hengbin Cui, Hangzhou, CN;

Assignee:

Alibaba Group Holding Limited, Grand Cayman, KY;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/00 (2023.01); G06F 18/00 (2023.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G06Q 10/04 (2023.01); G06Q 30/016 (2023.01);
U.S. Cl.
CPC ...
G06Q 10/04 (2013.01); G06F 18/00 (2023.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 30/016 (2013.01);
Abstract

The present disclosure provides data-driven methods and apparatuses for predicting user inquiries. One exemplary method includes: collecting user behavior data and pre-processing the user behavior data when a user inquiry is received; extracting candidate user behavior data that is contributive to the user inquiry from the pre-processed user behavior data; screening the candidate user behavior data based on a set target behavior data set, and selecting candidate user behavior data that is contained in the target behavior data set; inputting the screened candidate user behavior data into a trained classifier model; and predicting an inquiry category to which the user inquiry belongs. One exemplary apparatus includes a pre-processing module, an extraction module, and a prediction module. The method and the apparatus embodiments of the present disclosure can improve the efficiency and accuracy of the prediction.


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