METHOD AND APPARATUS FOR TRAINING ONLINE PREDICTION MODEL, DEVICE AND STORAGE MEDIUM
Patent №
US 12,688,517
Granted
2026-07-21
Filed 2021
Owner
Beijing Baidu Netcom Science and Technology Co., Ltd.
Lab
—
AI components
0
Assignment
None on record
Dataset
AIPD
Application
17213066
A method and apparatus for training an online prediction model are provided. The method may include: acquiring an offline sample feature and an online sample feature of a user, the offline sample feature including a user portrait feature; offline training to obtain an offline recommendation model, based on the offline sample feature and the online sample feature of the user; acquiring a latest online feature of the user, and online training to obtain an online learning model based on the latest online feature of the user, the online learning model being used to adapt the latest online feature for use as an online sample feature to be input into the trained offline recommendation model; and synchronizing the offline recommendation model to online, and inputting the latest online feature output by the online learning model into the offline recommendation model to generate an online prediction model.
Ownership
Beijing Baidu Netcom Science and Technology Co., Ltd.