METHOD AND APPARATUS OF GENERATING PREDICTION INFORMATION, DEVICE, MEDIUM AND PROGRAM PRODUCT
卷宗概要
申请人
Beijing JingDong ShangKe Information Technology Co., Ltd.; Beijing Wodong Tianjun Information Technology Co., Ltd.
发明人
Jianshen ZHANG; Zhengxin SHI; Dongyang GENG; Yulin HUANG; Yongzhi QI; Zuojun SHEN
IPC 分类
CPC 分类
A method and apparatus of generating a prediction information, a device, a medium and a program product are provided. The method includes: acquiring feature data corresponding to a target object for a plurality of object demand influence features; determining an object category corresponding to the target object according to the feature data; determining at least one information to be predicted for the target object according to the object category; generating at least one first feature demand prediction information for a target time according to at least one first feature demand prediction model and the feature data; inputting the at least one first feature demand prediction information and the feature data into a pre-trained second feature demand prediction model, so as to generate at least one second feature demand prediction information and a total demand prediction information for the target time.
原文（中文）
A method and apparatus of generating a prediction information, a device, a medium and a program product are provided. The method includes: acquiring feature data corresponding to a target object for a plurality of object demand influence features; determining an object category corresponding to the target object according to the feature data; determining at least one information to be predicted for the target object according to the object category; generating at least one first feature demand prediction information for a target time according to at least one first feature demand prediction model and the feature data; inputting the at least one first feature demand prediction information and the feature data into a pre-trained second feature demand prediction model, so as to generate at least one second feature demand prediction information and a total demand prediction information for the target time.