METHOD, APPARATUS AND STORAGE MEDIUM FOR STAY POINT RECOGNITION AND PREDICTION MODEL TRAINING

    公开(公告)号:US20210042641A1

    公开(公告)日:2021-02-11

    申请号:US16823214

    申请日:2020-03-18

    Abstract: A method, an apparatus and a storage medium for stay point recognition and prediction model training are proposed. The method may include: for a to-be-recognized positioning point, obtaining respectively features of N predetermined dimensions for the to-be-recognized positioning point, N being a positive integer greater than one; generating a feature vector for the to-be-recognized positioning point according to the features obtained; determining whether the to-be-recognized positioning point is a stay point based on the feature vector, by using a prediction model obtained by pre-training. The technical solution may be applied to improve the accuracy and a recall rate of the stay point recognition.

    METHOD AND APPARATUS FOR OPTIMIZING TAG OF POINT OF INTEREST, ELECTRONIC DEVICE AND COMPUTER READABLE MEDIUM

    公开(公告)号:US20210254992A1

    公开(公告)日:2021-08-19

    申请号:US17037144

    申请日:2020-09-29

    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.

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