公开(公告)号：US20210233405A1

公开(公告)日：2021-07-29

申请号：US17024421

申请日：2020-09-17

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

Inventor： Weijia ZHANG ,  Hao LIU ,  Hui XIONG

IPC: G08G1/14 ,  G06N3/04 ,  G06N3/08

Abstract: The present disclosure provides a parking lot free parking space predicting method and apparatus etc., and relates to the field of artificial intelligence. The method comprises: building a parking lot association graph and an information propagation graph for parking lots in a region to be processed, each junction in the graphs representing a parking lot, and connecting parking lots meeting a predetermined condition through edges; as for any parking lot i without a real-time sensor, determining local space correlation information of parking lot i according to environment context features of the parking lot i and neighboring parking lots which are in the parking lot association graph and connected to the parking lot i through edges; determining free parking space estimation information of the parking lot i according to free parking space information of neighboring parking lots with real-time sensors in the information propagation graph; determining time correlation information of the parking lot i according to the determined two kinds of information, and predicting future free parking space information of the parking lot i according to the information. The solution of the present disclosure may be applied to improve the accuracy of the prediction result.

公开(公告)号：US20210383279A1

公开(公告)日：2021-12-09

申请号：US17445905

申请日：2021-08-25

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

Inventor： Weijia ZHANG ,  Hao LIU ,  Dejing DOU ,  Hui XIONG

IPC: G06N20/00 ,  G06K9/62

Abstract: Provided are an intelligent recommendation method and apparatus, a model training method and apparatus, an electronic device, and a storage medium, which relate to artificial intelligence technologies, and are applicable to the intelligent recommendation and the intelligent transportation technologies. The intelligent recommendation method includes: determining an object recommendation request; determining, according to a multi-agent strategy model and the object recommendation request, object execution actions of at least two agent objects matching the object recommendation request; determining a target object execution action according to the object execution actions; and recommending the object recommendation request to a target agent object corresponding to the target object execution action.