Tencent Technology (Shenzhen) Company Limited

Chunhui Wang

Yiqun Li

Jie Liu

Yu Sun

Quan Cheng

Xihong Chen

Pengfei Liu

Zuojie Peng

Wanhe Zhao

Dongyu Li

Jiahuan Zhai

Embodiments of the present disclosure disclose an information processing method, a server, and a non-volatile storage medium. The method includes obtaining first log information in a first time period and then obtaining, based on the first log information, terminal information of a terminal that performs a hit behavior on a media information display place. The method includes determining, based on the terminal information, regional information corresponding to the terminal, where the regional information is used to indicate a region in which the terminal is located. The method also includes determining whether the number of regions in which the terminal is located is greater than a first threshold in a preset time range according to the regional information. The method further includes, when the number is greater than the first threshold, obtaining first terminal information of the terminal and determining that the terminal is an abnormal terminal.

Identifying and punishing cheating terminals that generate inflated hit rates

Embodiments of the present disclosure provide an information processing method, a server, and a computer storage medium. The method includes: collecting first information; selecting from the first information at least one information material, and generating, according to the first information material, a media information form template supporting at least two types of scenario presentation requirements; receiving a first request for the information material initiated by a data traffic monitor; sending the information material and the media information form template to the data traffic monitor; and generating a presentation result according to the information material and the media information form template.

Information processing method, server, and computer storage medium

This application discloses a method and an apparatus for advertisement fraud reduction. A training sample set including multiple training samples is obtained. At least one of the multiple training samples, associated with a fraudulent training user, includes a training click log associated with clicking one or more advertisements by the fraudulent training user. Feature information from the training sample set is extracted. The fraudulent training user and the feature information are associated with a fraudulent user type. A positive sample associated with the feature information is formed based on the at least one of the multiple training samples. A fraudulent user identification model associated with the fraudulent user type is trained based on at least the positive sample. Further, a sample to be identified, associated with a user to be identified, is received. Whether the user is a fraudulent user is determining using the fraudulent user identification model.

Method and apparatus for identification of fraudulent click activity

Growing community of inventors

Shenzhen, China

Chunhui Wang