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기록

METHOD AND APPARATUS OF GENERATING PREDICTION INFORMATION, DEVICE, MEDIUM AND PROGRAM PRODUCT

발명심사 중
22청구항 · 5 독립항
§ Ⅰ

개요

출원인

Beijing JingDong ShangKe Information Technology Co., Ltd.; Beijing Wodong Tianjun Information Technology Co., Ltd.

발명자

Jianshen ZHANG; Zhengxin SHI; Dongyang GENG; Yulin HUANG; Yongzhi QI; Zuojun SHEN

IPC 분류

G6Q 10/631

CPC 분류

G6Q10/6315

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.

원문 (중국어)

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.