Tencent Technology (shenzhen) Company Limited

Zhida Pan

Qian Wang

Jing Zhang

Xin Chen

Xu Zhang

Leyu Lin

Su Yan

Kaikai Ge

Yudan Liu

Linyao Tang

Kai Zhuang

Xiaobo Hao

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

Growing community of inventors

Shenzhen, China

Zhida Pan