Beijing Baidu Netcom Science and Technology Co., Ltd.

Beijing Baidu Netcom Science Technology Co., Ltd

Huawei Technologies Co., Limited

Mingyang Dai

Shengwen Yang

Qing Su

Xiaofei Wang

Wenwu Zhu

Zhiqiang Hou

Yixuan Shi

Zixiang Liu

Shuliang Gao

Haiquan Zhong

Changdong Yang

Minjun Shen

Zhifeng Lu

The present application discloses a method for generating a user interactive information processing model and a method for processing user interactive information, relates to the technical field of graph neural networks, and particularly relates to a user interactive information processing technology. The method comprises the following steps: determining node representations of network nodes of each layer in a graph neural network in an iterative manner, wherein the node representation of a single-layer node is obtained by representations of neighbor nodes of the single-layer node; adding the attribute feature of each node in each layer of network nodes to the node representation of each layer of network nodes to obtain a graph neural network to be trained; and training the graph neural network to be trained based on existing user interactive information, to obtain a user interactive information processing model, wherein the user interactive information processing model comprises adjusted node representation.

Method for generating user interactive information processing model and method for processing user interactive information

The present disclosure provides a method and an apparatus of recommending information based on a fused relationship network. The method includes: determining association relationships between an any node and other nodes in the fused relationship network based on at least one of a weight, interaction information and data source information of the interaction information of an edge; and recommending information to a user represented by the any node based on the association relationships. The present disclosure further provides an apparatus of recommending information based on a fused relationship network, and an electronic device and a storage medium.

Method and apparatus of recommending information based on fused relationship network, and device and medium

A relationship network generation method and device, electronic apparatus, and a storage medium are provided, which are related to big data processing. In an implementation, at least one historical text data corresponding to N users within a preset duration is acquired, where N is an integer greater than or equal to 1; sampling is performed on at least one historical text data corresponding to the N users to obtain the sampled text data respectively corresponding to the N users; semantic vectors corresponding to the N users respectively are determined based on the sampled text data corresponding to the N users respectively, and a semantic relationship network involving the N users is generated based on the semantic vectors corresponding to the N users respectively.

Relationship network generation method and device, electronic apparatus, and storage medium

A network convergence method and device, an electronic apparatus, a storage medium are provided. The method includes: taking online information obtained at least from network data as first nodes, and constructing a first network with the first nodes based on an association among the online information, the online information including at least one account and at least one piece of network media information; taking offline information obtained at least from mobile communication data as second nodes, and constructing a second network with the second nodes based on an association among the offline information, the offline information including at least one terminal identifier and location information of a terminal corresponding to the at least one terminal identifier; and converging the first network and the second network by using an association between the account in the online information and the terminal identifier in the offline information, to construct a heterogeneous network.

Network convergence method and device, electronic apparatus, and storage medium

Growing community of inventors

Beijing, China

Mingyang Dai