Tencent Technology (shenzhen) Company Limited

Jihong Zhang

Changwang Zhang

Qiuyong Xiao

Xiaoxiao Zheng

Bin Hu

Hui Li

Lei Xiao

Xiaosen Li

Hongjun Yin

Zhilin Shi

Xinying Huang

Qiufang Ying

Qiaoling Zheng

Quanzheng Yi

Saisai Zhou

This disclosure relates to a method for matching a wireless hotspot and a point of interest. The method may include performing semantic normalization preprocessing on a wireless hotspot name and a point of interest name respectively. The method may further include determining a first similarity between the preprocessed wireless hotspot name and the preprocessed point of interest name according to a matching result of consecutive common strings of the preprocessed wireless hotspot name and the preprocessed point of interest name. The method may further include determining a second similarity between the preprocessed wireless hotspot name and the preprocessed point of interest name according to a length difference between lengths of the preprocessed wireless hotspot name and the preprocessed point of interest name. The method may further include determining a matching result of the wireless hotspot and the point of interest according to the first similarity or the second similarity.

Method and apparatus for matching wireless hotspot and point of interest

A method for detecting node types in a directed network is provided. In the method, flow direction feature information of data traffic between network nodes in the directed network is acquired. The flow direction feature information includes a directed graph of nodes representing the network nodes. Layer scores of the nodes in the directed graph are determined based on whether the directed graph includes a directed cycle. The node types of the network nodes represented by the nodes in the directed network are determined according to the layer scores of the nodes.

Method for directed network detection, computer-readable storage medium, and related device

This disclosure relates to a method and an apparatus for mapping wireless hotspots and points of interest (POIs), a computer-readable storage medium, and a computer device. The method includes: obtaining sniffing records, each of the sniffing records including data of wireless hotspots sniffed by sniffing devices; determining sniffing device overlap degrees between the wireless hotspots according to the sniffing records; determining, according to distances between the wireless hotspots and POIs, initial mapping probabilities between the wireless hotspots and the POIs; performing iterative propagation among the initial mapping probabilities based on the sniffing device overlap degrees, and obtaining target mapping probabilities between the wireless hotspots and the POIs when the iteration ends; and establishing a mapping between the wireless hotspots and the POIs according to the target mapping probabilities.

Method and apparatus for mapping wireless hotspots and points of interest, computer-readable storage medium, and computer device

A method includes: acquiring user characteristic data of a first user and user characteristic data of at least two second users, each of the at least two second users having a social relationship with the first user; clustering the at least two second users to obtain at least two user sets, a similarity between the user characteristic data of any two second users in each user set satisfying a similarity condition; determining first key user characteristic data corresponding to the each user set according to the user characteristic data of the second users in the each user set; and generating a user profile of the first user according to the first key user characteristic data corresponding to the each user set and the user characteristic data of the first user.

Method, apparatus, storage medium, and device for generating user profile

A method and an apparatus are provided. Distribution information in a first attribute dimension is acquired from a persona data collection of users who use a network service. The persona data collection includes persona data sets corresponding to the users. An evaluation data collection to match the distribution information in the first attribute dimension is extracted from a sample data collection that is collected from sample users. The sample data collection includes sample data sets corresponding to the sample users. Further, a level of accuracy of the persona data collection in a second attribute dimension is determined based on the evaluation data collection in the second attribute dimension.

Method and system for evaluating user persona data

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Shenzhen, China

Jihong Zhang