公开(公告)号：US20180121434A1

公开(公告)日：2018-05-03

申请号：US15625379

申请日：2017-06-16

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

Inventor： Di JIANG ,  Lei SHI ,  Zeyu CHEN ,  Jiajun JIANG ,  Rongzhong LIAN

IPC: G06F17/30 ,  G06N3/08 ,  G06F17/16

CPC classification number: G06F16/24578 ,  G06F16/3334 ,  G06F16/3347 ,  G06F17/16 ,  G06N3/02 ,  G06N3/08

Abstract: A method and an apparatus for recalling a search result based on a neural network are provided, the method comprising: receiving a query and collecting a plurality of search results corresponding to the query; acquiring a first feature vector corresponding to the query, and acquiring second feature vectors corresponding to titles of the plurality of search results respectively; acquiring similarities between the first feature vector and the second feature vectors respectively, and acquiring semantic matching scores between the query and the plurality of search results respectively according to the similarities; and determining at least one target search result from the plurality of search results according to the semantic marching scores, wherein the at least one target search result is regarded as the search result recalled according to the query.

公开(公告)号：US20180150561A1

公开(公告)日：2018-05-31

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: G06F17/30 ,  G06F7/08 ,  G06N3/04 ,  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：US20180181628A1

公开(公告)日：2018-06-28

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: G06F17/30 ,  G06N3/08

CPC classification number: G06F16/248 ,  G06F16/2457 ,  G06F16/337 ,  G06F16/9535 ,  G06K9/00442 ,  G06K9/627 ,  G06N3/0427 ,  G06N3/08

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.

公开(公告)号：US20190057159A1

公开(公告)日：2019-02-21

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: G06F17/30 ,  G06N3/08

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：US20180293507A1

公开(公告)日：2018-10-11

申请号：US15945611

申请日：2018-04-04

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

Inventor： Rongzhong LIAN ,  Zeyu CHEN ,  Di JIANG ,  Jiajun JIANG ,  Jingzhou HE

IPC: G06N7/00 ,  G06F17/30

Abstract: Method and apparatus for extracting keywords based on artificial intelligence, a device and readable medium. Based on a topic model, predicting a distribution probability of a target document in each topic among multiple topics; calculating correlation between word vectors of respective words in multiple words of the target document and topic vectors of respective topics in multiple topics, wherein the word vectors of words and topic vectors of respective topics are all generated based on a word vector model; extracting, from the multiple words, words as keywords of the target document, according to distribution probabilities of words in respective topics and the correlation between the word vectors of the respective words and the topic vectors of the respective topics in multiple topics. Keywords are extracted according to the distribution probabilities of words in topics and the correlation between word vectors of words and topic vectors of topics in multiple topics.