公开(公告)号：US20190317729A1

公开(公告)日：2019-10-17

申请号：US16455152

申请日：2019-06-27

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Bogdan CAUTIS ,  Ruiming TANG ,  Zhenhua DONG ,  Xiuqiang HE ,  Zhirong LIU

IPC: G06F7/24 ,  G06F17/18 ,  G06F3/0482

Abstract: An application sorting method and apparatus are provided. The method includes: obtaining, a positive operation probability and positive operation feedback information of each of at least two data samples; calculating an uncertainty parameter of a positive operation probability of a first data sample based on the positive operation probabilities and the positive operation feedback information of the at least two data samples and feature indication information of at least one same feature in a plurality of features in the at least two data samples; and correcting the positive operation probability of the first data sample by using the uncertainty parameter of the positive operation probability; and sorting, based on corrected positive operation probabilities, application programs corresponding to the at least two data samples.

公开(公告)号：US20190087884A1

公开(公告)日：2019-03-21

申请号：US16198704

申请日：2018-11-21

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Zhirong LIU ,  Ruiming TANG ,  Zhenhua DONG ,  Xiuqiang HE ,  Guoxiang CAO

IPC: G06Q30/06 ,  G06F17/30

Abstract: The method includes: collecting historical operations of sample users for M items, and predicting a preference value of a target user for each of the M items according to historical operations of the sample users for each of the M items, collecting classification data of N to-be-recommended items, and classifying the N to-be-recommended items according to the classification data of the N to-be-recommended items, to obtain X themes, where each of the X themes includes at least one of the N to-be-recommended items, and the N to-be-recommended items are some or all of the M items; calculating a preference value of the target user for each of the X themes according to a preference value of the target user for a to-be-recommended item included in each of the X themes; and pushing a target theme to the target user.