Bissell Inc.

Huawei Technologies Co., Limited

Tencent Technology (shenzhen) Company Limited

Advanced New Technologies Co., Ltd.

Shenzhen Royole Technologies Co., Ltd.

Sunwave Communications Co., Ltd.

Other

Sz Dji Technology Co., Ltd.

Bissell Homecare, Inc.

Xin Chen

Jianjun Ge

Jincheng Xia

Yongsheng Liang

Zhenjiang Yin

Kam Hoi Ma

Su Yan

Qian Wang

Wenmei Gao

Jing Zhang

Xu Zhang

Kaikai Ge

Qiang Yan

Xin Guo

Kun Liu

Lei Liu

Leyu Lin

Yudan Liu

Yunchao Zhang

Min Li

Xiaojuan Li

Bin Hu

Yang Li

Hang Li

Xifeng Zhao

Lei Song

Zihong Liu

Lei Zhang

Xiang Zou

Yahui Wang

Xinyuan Xia

Lawrence Chun-Hei Chu

Yu Cheng

Chao Jiang

Yu Zhou

Peng Wei

Xiaojun Yu

Yi Zheng

Hui Wu

Lei Zhao

Ran Liao

Tao Chen

Xiaomeng Chen

Songjian Wang

Junfeng Ding

Kin-leung Tam

Qi Tian

Fusheng Tang

Linyao Tang

Kai Zhuang

Junrong Yan

Jue Mei

Peng Pan

Yingbiao Yao

Cheng Yang

Yi Wang

Zhanchao Liu

Lingxi Xie

Yicheng Lu

Chao Han

Tong Zhu

Xiaopeng Zhang

Ruizhou Wu

Feng Li

Zexian Dong

Wanna Jin

Xiaobo Hao

Yuhui Xu

Kexiao Duan

Youxiang Ding

Mingyuan Xu

Siping Chen

Tianfu Wang

Weiguo Niu

Ting Liang

Zhiming Liang

Biao Fan

Jinle Fang

Zeli Shang

Pengsen Wang

Xinyue Liao

Yuntao Peng

Jiaxun He

Banghua Yang

Jiajie Chen

Huorong Li

Weijian Li

Guojun Qi

Zhida Pan

Jie Zhao

Haoming Lin

Yiteng Tian

Scott R Smith

Hongmin Chen

Mengdie Sun

Haifeng Shao

Kin-Leung Tam

Suping Zhou

A virtual character selection method and apparatus, a terminal, and a storage medium, relating to the field of computer and Internet technologies. The method includes: displaying a character selection interface of a competitive battle, displaying a remaining duration of a character selection phase in a character selection interface, and displaying character information of a first virtual character selected by a system for a first user in the character selection based on the remaining duration meeting a first condition and the first user not selecting the virtual character.

Virtual character selection method and apparatus, terminal, and storage medium

A surface cleaning apparatus includes a housing including an upright handle assembly and a base mounted to the upright handle assembly and adapted for movement across a surface to be cleaned. The surface cleaning apparatus is further provided with a fluid delivery system comprising a fluid dispenser configured to dispense fluid to a brushroll and at least one fluid delivery channel forming a portion of a fluid delivery pathway. The fluid delivery channel can extend adjacent to a portion of the suction nozzle assembly. An interference wiper interfaces with a portion of the brushroll to remove excess liquid from the brushroll.

Surface cleaning apparatus

A cloud application-based resource transfer method, apparatus, computer device and storage medium. The method includes: displaying, through a cloud application, a video interface generated after processing through a cloud; displaying, in response to a trigger operation on a target visual element in the video interface used for triggering resource transfer, a resource transfer channel interface generated by the cloud; displaying a target resource transfer channel in the resource transfer channel interface; displaying resource transfer-related information corresponding to the target resource transfer channel and generated by the cloud; and triggering, in response to a resource transfer confirmation operation for the resource transfer-related information, a resource transfer operation that is based on the resource transfer-related information through the target resource transfer channel.

Cloud application-based resource transfer method and apparatus, and computer device and storage medium

This application discloses a content recommendation method performed at a computer device and belongs to the field of artificial intelligence. The method includes: acquiring a target user vector of a target user; determining n groups of seed user vectors according to the target user vector, each group of seed user vectors corresponding to a respective piece of candidate recommendation content; invoking a look-alike model to calculate a similarity between the target user vector and each group of seed user vectors, the look-alike model being used for calculating a similarity between user vectors based on an attention mechanism; and determining, among the n pieces of candidate recommendation content, target content to be recommended to the target user according to the respective similarities of the corresponding n groups of seed user vectors. This application can resolve a problem of relatively low accuracy of a recommendation method in the related art.

Content recommendation method and apparatus, device, and storage medium

A method is provided for determining a social rank of a node in a social network, the social network including a plurality of nodes connected by relationship chains. The method includes determining a user corresponding to at least one of the plurality of nodes in the social network, determining a connection structure of the relationship chains between the plurality of nodes, and determining, according to the connection structure of the relationship chains between the plurality of nodes, a social rank of the user corresponding to the at least one of the plurality of nodes.

Method and device for determining social rank of node in social network

This application relates to a user tag generation method performed by a computer device, relating to the field of neural networks. The method includes: obtaining discrete user data corresponding to a target user identifier in multiple feature fields respectively; for each feature field, obtaining an intra-field feature corresponding to the target user identifier according to the discrete user data in the feature field; merging the intra-field features to obtain an inter-field feature corresponding to the target user identifier; performing feature crossing on sub-features in the inter-field feature to obtain a cross feature corresponding to the target user identifier; and selecting, from candidate user tags, a target user tag corresponding to the target user identifier according to the inter-field feature and the cross feature. The solutions provided by this application can improve the accuracy of generating user tags.

User tag generation method and apparatus, storage medium, and computer device

A surface cleaning apparatus includes a housing including an upright handle assembly and a base mounted to the upright handle assembly. The surface cleaning apparatus is further provided with a fluid delivery system comprising a fluid dispenser configured to dispense fluid and at least one fluid delivery channel forming a portion of a fluid delivery pathway. A method of removing debris and fluid from a floor surface using a surface cleaning apparatus is also provided.

A method, apparatus, and terminal for transmitting a message in a multiplayer game, and a medium are provided, belonging to the field of human-machine interaction. The method includes: displaying a first user interface of the multiplayer game, the multiplayer game providing a virtual environment for at least two teams of virtual characters to conduct an online battle; displaying a warning transmitting control in a predetermined region on the first user interface in response to that an event associated with a virtual character in the virtual environment satisfies a warning condition, the warning transmitting control being configured to transmit a warning message corresponding to the event; and transmitting the warning message to a second terminal in response to a transmitting operation on the warning message, the first account and the second account having a teammate relationship.

Method, apparatus, and terminal for transmitting message in multiplayer online battle program, and medium

Example neural architecture search methods and image processing methods and apparatuses in the field of computer vision in the field of artificial intelligence are provided. The example neural architecture search method includes determining search space and a plurality of construction units, superimposing the plurality of construction units to obtain a search network, adjusting, in the search space, network architectures of the construction units in the search network, to obtain optimized construction units, and establishing a target neural network based on the optimized construction units. In each construction unit, some channels of an output feature map of each node are processed by using a to-be-selected operation to obtain a processed feature map, and the processed feature map and a remaining feature map are stitched and then input to a next node.

Neural architecture search method and image processing method and apparatus

A surface cleaning apparatus includes a housing including an upright handle assembly and a base mounted to the upright handle assembly. The surface cleaning apparatus is further provided with a brushroll and a fluid delivery system comprising a fluid supply chamber and a fluid dispenser configured to dispense fluid to the brushroll.

A surface cleaning apparatus includes a housing including an upright handle assembly and a base mounted to the upright handle assembly. The surface cleaning apparatus is further provided with a fluid delivery system comprising a fluid dispenser configured to dispense fluid and at least one wiper to remove excess liquid from a brushroll.

Cervical pillow

A recommendation method is provided. In the method, a candidate item to be recommended to a social network user is obtained. The social network user has at least two different types of social relationships. For at least one target social object in each of the at least two different types of social relationships of the social network user, attention of each of the at least one target social object in the respective type of social relationship to the candidate item is determined. According to the attention of each of the at least one target social object in the at least two different types of social relationships to the candidate item, a comprehensive attention of the target social objects of the at least two different types of social relationships to the candidate item is determined. According to the comprehensive attention, whether to recommend the candidate item to the social network user is determined.

Recommendation method and apparatus, and storage medium

An intelligent assistant control method is provided: starting, by a terminal device, a lens; displaying, by the terminal device, a preview interface on a display screen, where the preview interface includes a to-be-photographed object; and if the terminal device determines that the preview interface has been stably displayed for preset duration, displaying, by the terminal device, first prompt information of a photographing mode in the preview interface, where the first prompt information is used to recommend a first photographing mode to a user, and the first photographing mode is determined by the terminal device based on scene information of the to-be-photographed object.

Intelligent assistant control method and terminal device for recommending a photographing mode to a user

A system includes an electronic device and VR glasses. The electronic device receives a notification message in a VR mode. The notification message is designated to be displayed by a first user interface in a normal mode. The electronic device is configured to generate a second interface based on the first interface and display the second interface for displaying the notification message in the VR mode. The electronic device is configured to receive a first user input corresponding to a first location on the second interface. The electronic device is configured to determine a second location on the first interface corresponding to the first location on the second interface to respond to the first user input for interacting with the notification.

Method and terminal for displaying 2D application in VR device

Growing community of inventors

Shenzhen, China

Xin Chen