公开(公告)号：US11341366B2

公开(公告)日：2022-05-24

申请号：US16988774

申请日：2020-08-10

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Guocheng Niu ,  Bolei He ,  Xinyan Xiao

IPC: G06K9/62 ,  G06T7/73 ,  G06V10/40 ,  G06V30/262 ,  G06V30/10

Abstract: A cross-modality processing method is related to a field of natural language processing technologies. The method includes: obtaining a sample set, wherein the sample set includes a plurality of corpus and a plurality of images; generating a plurality of training samples according to the sample set, in which each of the plurality of the training samples is a combination of at least one of the plurality of the corpus and at least one of the plurality of the images corresponding to the at least one of the plurality of the corpus; adopting the plurality of the training samples to train a semantic model, so that the semantic model learns semantic vectors containing combinations of the corpus and the images.

公开(公告)号：US11216504B2

公开(公告)日：2022-01-04

申请号：US16705749

申请日：2019-12-06

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Guocheng Niu ,  Bolei He ,  Chengxiang Liu ,  Xinyan Xiao ,  Yajuan Lyu

IPC: G06F16/36 ,  G06F40/30 ,  G06F40/295 ,  G06N3/08

Abstract: A document recommendation method based on a semantic tag and a document recommendation device. The method includes: for each document, acquiring a first candidate tag set corresponding to the document, and processing each first candidate tag in the first candidate tag set corresponding to the document to obtain a second candidate tag set corresponding to the document; performing normalization processing on each second candidate tag in the second candidate tag set corresponding to the document to obtain a third candidate tag set corresponding to the document; performing expanding process on each third candidate tag in the third candidate tag set corresponding to the document, and acquiring a fourth candidate tag set corresponding to the document, to form a document library having semantic tags; and recommending a target document obtained from the document library having semantic tags to the user, according to historical semantic tag.