Tencent Technology (shenzhen) Company Limited

Tsinghua University

Shenzhen Xinjiale E-commerce Co., Ltd.

Hao Ye

Bo Song Chen

Yan Li

Jian Ding

Jie Tang

Chao Luo

Li Hui Lu

Qian Wu

Debing Liu

Zhiping Wang

Yang Song

Yujie Qian

Hang Kong

Sheng Tang

Tantan Zhang

Yufei Zheng

Tian Zheng

Ni Su

Difei Chen

Hanjie Wang

Jiezhong Qiu

Air pump

In a method for invitation behavior prediction, group behavior feature information of a first user of a group is obtained. In addition, group relationship feature information of a second user is obtained. Further, group architecture information of the group, the group behavior feature information of the first user, and the group relationship feature information of the second user are input to an invitation prediction model, to obtain a target member user and a candidate invitation user of the target member user. The invitation prediction model is obtained by training the invitation prediction model based on a plurality of sample groups in a training set, and group relationship feature information of associated users of member users in the plurality of sample groups. Invitation prediction information is sent to the target member user to prompt the target member user to add the candidate invitation user to the group.

Invitation behavior prediction method and apparatus, and storage medium

This application discloses a method for making music recommendations. The method for making music recommendations is performed by a server device. The method includes obtaining a material for which background music is to be added; determining at least one visual semantic tag of the material, the at least one visual semantic tag describing at least one characteristic of the material; identifying a matched music matching the at least one visual semantic tag from a candidate music library; sorting the matched music according to user assessing information of a user corresponding to the material; screening the matched music based on a sorting result and according to a preset music screening condition; and recommending matched music obtained through the screening as candidate music of the material.

Method for making music recommendations and related computing device, and medium thereof

Disclosed are interest tag determining method and device for accurately promoting information for users in a group based on interest tags of the group. This includes obtaining a group identifier and a corresponding group name, obtaining user identifiers corresponding to the group identifier and first user contents of the user identifiers, concatenating the first user contents of the user identifiers corresponding to the group identifier to obtain a first group content of the group identifier, calculating probabilities that the first group content is under the topic identifiers, and determining interest tags of the group identifier according to the probabilities that the first group content is under the topic identifiers and an association relationship between the topic identifiers and the interest tags that is determined through pre-training.

Interest tag determining method, computer device, and storage medium

A method for controlling a smart device is described. The interface circuitry of a user device for controlling the smart device receives basic information of the smart device that enables a connection of the smart device into an Internet of Things network. A control signal is provided to the smart device via the interface circuitry to control, according to the basic information. The smart device is connected into the Internet of Things network. A preset function configuration of the smart device is obtained when the smart device is connected into the Internet of Things network. A control component is determined to enable a control of the smart device according to the preset function configuration. For a user interface, a controller template is generated to include the control component. The smart device is controlled based on an operation on the control component in the user interface.

Method and apparatus for controlling smart device, and computer storage medium

A computing device with processor(s) and memory obtains user-specific models corresponding to a user of the computing device, where the user-specific models are configured to determine respective listing priorities for message logs based on a respective set of parameters generated based at least in part on previous behavioral data corresponding to the user. The computing device obtains a request from the user to display a listing of message logs with message logs of at least two distinct message types. In response to obtaining the request, the computing device: determines listing priorities for the message logs in the listing of message logs according to user-specific models corresponding to the least two distinct message types; determines a presentation order for the listing of message logs based on the determined listing priorities and a prioritization preference of the user; and presents the listing of message logs in the determined presentation order.

Method and system for presenting a listing of message logs

A method, device and system for providing a language service are disclosed. In some embodiments, the method is performed at a computer system having one or more processors and memory for storing programs to be executed by the one or more processors. The method includes receiving a first message from a client device. The method includes determining if the first message is in a first language or a second language different than the first language. The method includes translating the first message into a second message in the second language if the first message is in the first language. The method includes, alternatively, generating a third message in the second language if the first message is in the second language, where the third message includes a conversational response to the first message. The method further includes returning one of the second message and the third message to the client device.

Method, device and system for providing language service

Growing community of inventors

Shenzhen, China

Hao Ye