公开(公告)号：US20210326729A1

公开(公告)日：2021-10-21

申请号：US17360581

申请日：2021-06-28

Applicant: Huawei Technologies Co., Ltd.

Inventor： Hong Zhu ,  Zhenhua Dong ,  Ruiming Tang ,  Yuzhou Zhang ,  Li Qian

IPC: G06N5/04 ,  G06N20/00

Abstract: A recommendation model training method includes selecting a positive sample in a sample set, and adding the positive sample to a training set, where the sample set includes the positive sample and negative samples, each sample includes n sample features, n≥1, and the sample features of each sample include a feature used to represent whether the sample is a positive sample or a negative sample, calculating sampling probabilities of the negative samples in the sample set by using a preset algorithm, selecting a negative sample from the sample set based on the sampling probability, and adding the negative sample to the training set, and performing training by using the samples in the training set, to obtain a recommendation model.

公开(公告)号：US12038986B2

公开(公告)日：2024-07-16

申请号：US17242588

申请日：2021-04-28

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Chih Yao Chang ,  Hong Zhu ,  Zhenhua Dong ,  Xiuqiang He ,  Bowen Yuan

IPC: G06Q10/10 ,  G06F16/9535 ,  G06F18/10 ,  G06F18/20 ,  G06F18/214 ,  G06N20/00 ,  G06Q10/06 ,  G06Q30/02 ,  G06Q30/0282 ,  G06Q30/06

CPC classification number: G06F16/9535 ,  G06F18/10 ,  G06F18/214 ,  G06F18/285 ,  G06N20/00 ,  G06Q30/0282

Abstract: This application provides a recommendation model training method in the artificial intelligence (AI) field. The training method includes: obtaining a first training sample; processing attribute information of a first user and information about a first recommended object based on an interpolation model, to obtain an interpolation prediction label of the first training sample; and performing training by using the attribute information of the first user and the information about the first recommended object as an input to a recommendation model and using the interpolation prediction label of the first training sample as a target output value of the recommendation model, to obtain a trained recommendation model. According to the technical solutions of this application, impact of training data bias on recommendation model training can be alleviated, and recommendation model accuracy can be improved.

公开(公告)号：US12210577B2

公开(公告)日：2025-01-28

申请号：US17989719

申请日：2022-11-18

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Guohao Cai ,  Gang Wang ,  Zhenhua Dong ,  Xiaoguang Li ,  Xiuqiang He ,  Hong Zhu

IPC: G06F16/00 ,  G06F16/9535 ,  G06F16/954

Abstract: A method and an apparatus for training a search recommendation model, and a method and an apparatus for sorting search results are provided. The training method includes: obtaining a training sample set including a sample user behavior group sequence and a masked sample user behavior group sequence; and using the training sample set as input data, and training a search recommendation model, to obtain a trained search recommendation model, where a target of the training is to obtain the object of the response operation of the sample user after the mask processing, the search recommendation model is used to predict a label of a candidate recommendation object in search results corresponding to a query field when a target user inputs the query field, and the label is used to indicate a probability that the target user performs a response operation on the candidate recommendation object.

公开(公告)号：US20240314752A1

公开(公告)日：2024-09-19

申请号：US18673913

申请日：2024-05-24

Applicant: Huawei Technologies Co., Ltd.

Inventor： Liwen Zhang ,  Zhou Xu ,  Hong Zhu

IPC: H04W72/0446 ,  H04B7/06 ,  H04L5/00 ,  H04W72/0453

CPC classification number: H04W72/0446 ,  H04B7/0626 ,  H04L5/0051 ,  H04W72/0453

Abstract: This application provides a communication method and apparatus. The method includes: A network device sends a first signal to a first terminal device in a first frequency band and a second frequency band. A frequency band of a first carrier includes the first frequency band and the second frequency band, and the first carrier is a carrier of a first cell accessed by the first terminal device. The network device sends a second signal to a second terminal device in a third frequency band. A frequency band of a second carrier includes the third frequency band and the second frequency band, a root sequence for generating the first signal is the same as a root sequence for generating the second signal, and the second carrier is a carrier of a second cell accessed by the second terminal device.