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：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.