公开(公告)号：US10423728B2

公开(公告)日：2019-09-24

申请号：US15148365

申请日：2016-05-06

Applicant: Huawei Technologies Co., Ltd.

Inventor： Qiang Ding ,  Shaoxu Song ,  Yangzhen Ou

IPC: G06K9/46 ,  G06F17/30 ,  G01C21/36 ,  H04W4/02 ,  H04W4/029

Abstract: A clustering method for a point of interest and a related apparatus are provided. The clustering method for a point of interest includes: acquiring a locating point set of a user within a preset period; generating a stay point set according to the locating point set, where each stay point in the stay point set represents one hot area; calculating a confidence level of each stay point in the stay point set; obtaining a trusted stay point from the stay point set by means of screening according to the confidence level of each stay point in the stay point set; and clustering density-connected trusted stay points to form a point of interest. By using technical solutions provided in the present disclosure, reliability and reference value of a POI can be effectively improved.

公开(公告)号：US20160253407A1

公开(公告)日：2016-09-01

申请号：US15148365

申请日：2016-05-06

Applicant: Huawei Technologies Co., Ltd.

Inventor： Qiang Ding ,  Shaoxu Song ,  Yangzhen Ou

IPC: G06F17/30

Abstract: A clustering method for a point of interest and a related apparatus are provided. The clustering method for a point of interest includes: acquiring a locating point set of a user within a preset period; generating a stay point set according to the locating point set, where each stay point in the stay point set represents one hot area; calculating a confidence level of each stay point in the stay point set; obtaining a trusted stay point from the stay point set by means of screening according to the confidence level of each stay point in the stay point set; and clustering density-connected trusted stay points to form a point of interest. By using technical solutions provided in the present disclosure, reliability and reference value of a POI can be effectively improved.

Abstract translation: 提供了一个兴趣点和相关设备的聚类方法。 用于兴趣点的聚类方法包括：在预设时段内获取用户的定位点集; 根据定位点产生一个停留点集，其中驻留点集中的每个停留点表示一个热区; 计算停留点集中每个停留点的置信水平; 根据停留点集中的每个停留点的置信水平，通过筛选从设定的停留点获得可信赖的停留点; 和聚集密度相关的可信停留点形成感兴趣的点。 通过使用本公开提供的技术方案，可以有效地提高POI的可靠性和参考价值。