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Title:
TARGET SORTING MODEL TRAINING METHOD AND APPARATUS, TARGET SORTING METHOD AND APPARATUS, ELECTRONIC DEVICE AND STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2024/027162
Kind Code:
A1
Abstract:
Provided are a target sorting model training method and apparatus, a target sorting method and apparatus, an electronic device, a storage medium and a computer program product, which relate to the technical field of computers, in particular to the fields of data processing, machine learning, intelligent recommendation and so on. The target sorting model training method comprises: acquiring features respectively corresponding to N targets; by means of a shared expert sub-network in a target sorting model, extracting a common feature of the N targets from the features respectively corresponding to the N targets; by means of expert sub-networks respectively corresponding to the N targets in the target sorting model, extracting individual features respectively corresponding to the N targets from the features respectively corresponding to the N targets, wherein M targets amongst the N targets correspond to the same expert sub-network, M is an integer greater than or equal to 1, and M is less than N; and on the basis of the individual features respectively corresponding to the N targets and the common feature of the N targets, adjusting the parameters of the target sorting model.

Inventors:
WU XUECHAO (CN)
LIU XING (CN)
ZHANG XIAOMIN (CN)
ZHOU YANG (CN)
BAI YUNLONG (CN)
Application Number:
PCT/CN2023/081601
Publication Date:
February 08, 2024
Filing Date:
March 15, 2023
Export Citation:
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Assignee:
BEIJING BAIDU NETCOM SCI & TECH CO LTD (CN)
International Classes:
G06F16/9535
Foreign References:
CN114282094A2022-04-05
CN114330752A2022-04-12
CN114036398A2022-02-11
US11093714B12021-08-17
Attorney, Agent or Firm:
BEIJING ELITE GROUP INTELLECTUAL PROPERTY LAW OFFICE (CN)
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