Tencent Technology (shenzhen) Company Limited

Junjie Zhai

Liang Wang

Yanan Li

Conglei Yao

Quan Wen

Yang Liu

He Li

Gang Cheng

Yong Cheng

Zhaopeng Tu

Fandong Meng

Jianqun Chen

Ziming Zhuang

Yiyang Liu

Xuan Pan

Fang Lu

Gudan Wang

Boyu Qiu

A translation model training method for a computer device includes obtaining a training sample set, the training sample set including a plurality of training samples. Each training sample is a training sample pair having a training input sample in a first language and a training output sample in a second language. The method also includes determining a disturbance sample set corresponding to each training sample in the training sample set, the disturbance sample set comprising at least one disturbance sample, and a semantic similarity between the disturbance sample and the corresponding training sample being greater than a first preset value; and training an initial translation model by using the plurality of training samples and the disturbance sample set corresponding to each training sample to obtain a target translation model, such that the training output sample remains same for the disturbance sample and the corresponding training sample.

Translation model training method, sentence translation method, device, and storage medium

The present disclosure discloses a method, apparatus, and server for information recommendation. Search behavior data, browsing behavior data, and click behavior data on recommended content of a specified user in a forum are acquired. A preprocessing on the search behavior data, the browsing behavior data, and the click behavior data on recommended content is performed respectively to obtain a first recommendation result, a second recommendation result, and a third recommendation result. Distribution and integration on the first recommendation result, the second recommendation result, and the third recommendation result are performed according to weights to obtain recommended content to be recommended to the specified user. Search behavior data, browsing behavior data, and click behavior data on recommended content are taken into comprehensive consideration, data used in recommendation is enriched, and accuracy of recommendation is improved.

Information recommendation method, apparatus, and server based on user data in an online forum

An information recommendation method is provided for a terminal. The method includes obtaining at least one keyword, obtaining geographical location information corresponding to the keyword, and searching, within a range of a map interface display area, recommendation information relevant to geographical locations adjacent to the geographical location corresponding to the geographical location information. The method also includes displaying, according to the range of the map interface display area, geographical location information corresponding to the keyword, as well as the map interface having the recommendation information.

Information recommendation method and apparatus

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Shenzhen, China

Junjie Zhai