公开(公告)号：US20210224273A1

公开(公告)日：2021-07-22

申请号：US17207460

申请日：2021-03-19

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

Inventor： SHUANGQUAN YANG ,  YANG ZHANG ,  YI XIE

IPC: G06F16/2458 ,  G06F16/2457 ,  G06F16/242

Abstract: The present disclosure discloses a query method, an apparatus, an electronic device, and a storage medium, and relates to the technical field of spatio-temporal big data in big data technologies. The specific implementation scheme is as follows: receiving a query request sent by a terminal device, where the query request is used to request to query dynamic association relationships of a target entity and includes an identifier of the target entity and query starting and ending time; determining at least one time bucket to be queried in a query database according to the query starting and ending time, where each time bucket stores the dynamic association relationships of the target entity in a time period corresponding to the time bucket; and querying the dynamic association relationships of the target entity in the at least one time bucket according to the identifier of the target entity.

公开(公告)号：US20210209109A1

公开(公告)日：2021-07-08

申请号：US17207503

申请日：2021-03-19

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

Inventor： YANG ZHANG ,  SHUANGQUAN YANG ,  YI XIE ,  CHANG LIU

IPC: G06F16/2453 ,  G06N5/04 ,  G06F16/22 ,  G06F16/9535

Abstract: The present application discloses a method, an apparatus, a device, and a storage medium for intention recommendation, which relates to the field of big data, artificial intelligence, intelligent search, information flow and deep learning technologies in the field of computer technologies. A specific implementation scheme includes: receiving an intention query request carrying an intention keyword and a user identification, determining a first recommendation list according to the intention keyword and a pre-configured intention repository, where the intention repository includes at least one tree-shaped intention set, and each tree-shaped intention set includes at least one graded intention, processing intentions in the first recommendation list by using intention strategy information corresponding to the user identification to obtain a target recommendation list and output it.