公开(公告)号：US20210334278A1

公开(公告)日：2021-10-28

申请号：US17110144

申请日：2020-12-02

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

Inventor： Jingbo ZHOU ,  Hui XIONG

IPC: G06F16/2458 ,  G06F16/29 ,  G06F16/28 ,  G06F16/901 ,  G06N3/08 ,  G06N3/04

Abstract: A method and apparatus for mining a competition relationship between POIs. An embodiment of the method includes: acquiring a graphlet mining result obtained by mining map retrieval data of users which comprises attribute information of retrieved target POIs, the graphlet mining result comprising occurrence frequencies of respective preset situations, and a preset situation comprising: conforming to attribute information of POIs represented by a corresponding preset graphlet and a preset association relationship between attribute information of at least two POIs; for a first and second POI, determining an occurrence frequency of a preset situation corresponding to a preset graphlet where attribute information of the first and second POI co-occur, and generating a relationship feature of the first and second POI; and inputting the relationship feature into a pre-trained relationship prediction model to obtain a competition relationship prediction result of the first POI and the second POI.

公开(公告)号：US20220398465A1

公开(公告)日：2022-12-15

申请号：US17620820

申请日：2021-06-02

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

Inventor： Jizhou HUANG ,  Jingbo ZHOU ,  An ZHUO ,  Ji LIU ,  Haoyi XIONG ,  Dejing DOU ,  Haifeng WANG

IPC: G06N5/02

Abstract: A technical solution relates to a big data technology in the field of artificial intelligence technologies. The technical solution includes: acquiring training data including annotation results of a risk grade of each sample region and a risk grade of a district to which each sample region belongs; and training an initial model including an encoder, a discriminator and a classifier using the training data, and obtaining the risk prediction model using the encoder and the classifier after the training process. The encoder performs a coding operation using region features of the sample regions to obtains a feature representation of each sample region; the discriminator identifies the risk grade of the district to which the sample region belongs according to the feature representation of the sample region; the classifier identifies the risk grade of the sample region according to the feature representation of the sample region.

公开(公告)号：US20210356290A1

公开(公告)日：2021-11-18

申请号：US17386302

申请日：2021-07-27

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

Inventor： Jingbo ZHOU ,  Hui XIONG

IPC: G01C21/36

Abstract: A method for recommending a point of interest (POI) includes: generating a user explicit feature based on a user profile of a user to be recommended; generating a POI explicit feature based on a POI profile of each candidate POI in a pre-constructed POI hierarchical structure; generating a historical interaction feature based on historical interaction behaviors of the user to be recommended to each candidate POI; determining a matrix of recommending values for each hierarchy based on at least one of the user explicit feature, the POI explicit feature and the historical interaction feature in combination with an association relationship between inter-hierarchy candidate POIs and/or intra-hierarchy candidate POIs in the POI hierarchical structure; and selecting at least one target POI from the candidate POIs of each hierarchy based on the matrix of recommending values for each hierarchy.

公开(公告)号：US20210254992A1

公开(公告)日：2021-08-19

申请号：US17037144

申请日：2020-09-29

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

Inventor： Jingbo ZHOU ,  Renjun HU ,  Airong JIANG ,  Jianguo DUAN ,  Hui XIONG

IPC: G01C21/36 ,  G06K9/62

Abstract: The present disclosure provides a method for optimizing a tag of a point of interest s(POI). The method includes: obtaining first portrait feature data of each POI in a plurality of POIs and second portrait feature data of each tag in a plurality of marked tags corresponding to the plurality of POIs; mapping the first portrait feature data of each POI and the second portrait feature data of each tag to a metric space to obtain a first feature vector of each POI and a second feature vector of each tag; and optimizing at least one marked tag corresponding to a target POI based on a vector similarity between a first feature vector of the target POI and a second feature vector of at least one tag. The present disclosure provides an apparatus for optimizing a tag of a POI, an electronic device and a computer readable medium.