公开(公告)号：US20180349781A1

公开(公告)日：2018-12-06

申请号：US15954015

申请日：2018-04-16

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

Inventor： Zhihui Liu ,  Wei Bi ,  Yuhui Cao ,  Jingzhou He ,  Di Jiang

IPC: G06N5/04 ,  G06N99/00

Abstract: Embodiments of the present disclosure disclose a method and a device for judging news quality based on AI and a storage medium. The method includes: constructing a news quality classification model based on a news feature of known high-quality news and/or a news feature of known low-quality news; and judging news quality of news to be detected with the news quality classification model.

公开(公告)号：US11182445B2

公开(公告)日：2021-11-23

申请号：US16054365

申请日：2018-08-03

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

Inventor： Chen Li ,  Di Jiang ,  Xinyu Wang ,  Yibin Wei ,  Pu Wang ,  Jingzhou He

IPC: G06F16/95 ,  G06F16/9535 ,  G06N3/08 ,  G06F16/242 ,  G06F16/2452 ,  G06F16/332

Abstract: Embodiments of the present disclosure disclose a method, an apparatus, a server, and a storage medium for recalling for a search. The method for recalling for a search includes: acquiring a search term inputted by a user; calculating a semantic vector of the search term using a pre-trained neural network model; and recalling, according to a pre-established index, target documents related to the semantic vector of the search term from candidate documents, the index being established based on the semantic vectors of the candidate documents, and the semantic vectors of the candidate documents being calculated using the pre-trained neural network model. The embodiments of the present disclosure may solve a problem in the existing method for recalling that the recalling accuracy is affected by failing to generalize semantics, to improve the accuracy of recalling for a search.

公开(公告)号：US10762150B2

公开(公告)日：2020-09-01

申请号：US15625460

申请日：2017-06-16

Applicant: Beijing Baidu Netcom Science And Technology Co., Ltd.

Inventor： Xinyu Wang ,  Di Jiang ,  Lei Shi ,  Chen Li ,  Meng Liao ,  Jingzhou He

IPC: G06F16/9535 ,  G06F16/248 ,  G06F16/2457 ,  G06N3/04 ,  G06F7/08 ,  G06N3/08

Abstract: A searching method and a searching apparatus based on a neural network and a search engine are disclosed, the searching method including: acquiring a query and a pre-query input by a user; acquiring a plurality of search results according to the query; generating a target term vector representation according to the query, the pre-query and the plurality of search results based on an MLP; and forecasting the target term vector representation based on a semantic model of a deep neural network so as to acquire a plurality of s optimized search results corresponding to the query.

公开(公告)号：US10733197B2

公开(公告)日：2020-08-04

申请号：US15845713

申请日：2017-12-18

Applicant: Beijing Baidu Netcom Science and Technology Co., Ltd.

Inventor： Jiaxin Lin ,  Wei Bi ,  Tixi He ,  Zhisheng Wang ,  Yingbin Su ,  Yuhui Cao ,  Rui Chen ,  Zhihui Liu ,  Yan Zhang ,  Chao Zhou ,  Shuo Huang ,  Jingzhou He ,  Guyue Zhou ,  Shiwei Huang ,  Di Jiang ,  Lei Shi

IPC: G06F16/2457 ,  G06F16/248 ,  G06N3/08 ,  G06K9/00 ,  G06K9/62 ,  G06F16/9535 ,  G06F16/335 ,  G06N3/04

Abstract: The present disclosure provides a method and an apparatus for providing information based on artificial intelligence. The method includes: determining a characteristic of interest of the user according to historical access records of the user; and displaying an information card matched with the characteristic of interest in an information displaying interface, the information card including core contents of news matched with the characteristic of interest determined by analyzing news in a database.