Huawei Technologies Co., Limited

Siemens Aktiengesellschaft

Zte Corporation

Fuzhi Technology (shenzhen) Co., Ltd.

Hong Zhu

Zhenhua Dong

Xiuqiang He

Gang Wang

Li Qian

Xiao Liu

Qiang He

Ruiming Tang

Xiaoguang Li

Xin Jia

Yingsheng Mahe

Yuzhou Zhang

Jialin Li

Bowen Yuan

Dongdu Song

Guohao Cai

Chih Yao Chang

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.

Recommendation model training method and related apparatus

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.

Method and apparatus for training search recommendation model, and method and apparatus for sorting search results

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.

Recommendation model training method, recommendation method, apparatus, and computer-readable medium

Pet robot

The present invention provides a communications terminal and system and a rights management method, comprising: setting a rights list; listing unique identification information of user identity of each mobile terminal device that is allowed to access to the WiFi hot spot communications terminal; the communications terminal performing authentication on unique identification information in a mobile terminal authentication request; and establishing a connection. It is made convenient for the communications terminal to effectively manage access rights, and the management becomes simpler and easier to operate. Meanwhile, the communications terminal performs authentication on the unique identification information of the user identity, thereby making the authentication process more efficient and improving the security of the authentication process. Meanwhile, priorities of the access rights of users are set, so as to ensure that a user of a high priority has preferential access, thereby making the access rights management more user-friendly.

Communications terminal and system and rights management method

In order to measure the temperature parameters of magnetic materials, in a process and an apparatus for measuring the characteristics of variation of magnetic induction of magnetic material with respect to temperature, a probe is provided at any one point A within the effective imaging range of an MR apparatus, the magnetic material to be tested also being provided at point A. The material is contacted directly with a heating unit, and a temperature sensor is attached to said magnetic material to be tested. The temperature control unit adjusts and controls the heating unit to heat the magnetic material to be tested based on the information collected by the temperature sensor. A processing unit of the MR system controls the probe at A in real-time and receiving the MR signals for feeding into the processing unit of the MR system, and the magnetic induction at A being obtained after the analysis of the system. The temperature parameter of the magnetic material to be tested is calculated by measuring the magnetic induction thereof at A under different temperatures.

Method and apparatus for measuring change in magnetic induction of a magnetic material with respect to temperature

In a temperature control method for magnetic field components of a permanent magnet arrangement of a magnetic resonance system, temperature stability of the magnetic field components is achieved by maintaining the temperature of the two sides of the magnetic field components constant, with a difference being maintained between the temperatures of the two sides of the magnetic field components so that a temperature gradient is formed within the magnetic field components. Once the temperature gradient is formed, dynamic temperature stability is established within the magnetic field component. When this dynamic temperature stability is broken by thermal disturbance, the temperature gradient allows the thermal disturbance to be quickly transmitted to the lower magnetic yoke and is further transmitted to the outside through the base of the magnetic resonance system so that the thermal disturbance is smoothed and dynamic temperature stability is reestablished.

Temperature control method for a permanent magnet arrangement of a magnetic resonance system

Growing community of inventors

Shenzhen, China

Hong Zhu