Tencent Technology (Shenzhen) Company Limited

Mingfei Liang

Lei Chen

Hua Li

Yi Liu

Qi Liu

Jun Rao

Zhijie Qiu

Liangdong Wang

Shukai Liu

Zhenlong Sun

Tiantian Shang

Zhou Su

Leyu Lin

Embodiments of this application provide a method for making recommendations to a user and an apparatus, a computing device, and a storage medium. The method includes obtaining user attribute information, reading attribute information, reading history information, and candidate items; performing intra-group information fusion on the reading attribute information according to preset groupings to obtain reading feature information; obtaining a reading history weight according to the reading history information; obtaining history feature information according to the reading history weight and the reading history information; obtaining user feature information according to the user attribute information, the reading feature information, and the history feature information; and selecting a recommendation item from the candidate items according to the user feature information.

Method for making recommendations to a user and apparatus, computing device, and storage medium

A video recommendation method is provided, including: inputting a video to a first feature extraction network, performing feature extraction on at least one consecutive video frame in the video, and outputting a video feature of the video; inputting user data of a user to a second feature extraction network, performing feature extraction on the discrete user data, and outputting a user feature of the user; performing feature fusion based on the video feature and the user feature, and obtaining a recommendation probability of recommending the video to the user; and determining, according to the recommendation probability, whether to recommend the video to the user.

Video recommendation method and device, computer device and storage medium

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Shenzhen, China

Mingfei Liang