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公开(公告)号：US11468349B2
公开(公告)日：2022-10-11
申请号：US16936190
申请日：2020-07-22
Inventor： Miao Fan , Jizhou Huang , An Zhuo , Ying Li , Ping Li , Haifeng Wang
Abstract: A POI valuation method, apparatus, device and computer storage medium are disclosed. The method comprises: obtaining information of first POIs with known values and information of second POIs with unknown values within a regional range; creating a valuation model which is configured to revaluate a first POI using values of surrounding POIs of the first POI, the surrounding POIs including other first POIs and second POIs within a predetermined range of distance from the first POI, and adjusting values of second POIs in the surrounding POIs using an error between a revaluated value of first POI and the known value of the first POI; training the valuation model until the error is minimized; obtaining the values of the second POIs from the valuation model. The solutions may reduce the requirement for manpower and improve the valuation efficiency as compared with manually valuation of POIs one by one.
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2.发明授权公开(公告)号：US11328600B2
公开(公告)日：2022-05-10
申请号：US16951922
申请日：2020-11-18
Inventor： Jizhou Huang , Haifeng Wang , Hao Zhang , Miao Fan
Abstract: A method and apparatus for identifying a traffic accident, a device and a computer storage medium are disclosed, which relates to the technical fields of intelligent traffic and big data. An implementation includes: acquiring road features, environmental features and road traffic stream features; inputting the road features, the environmental features and the road traffic stream features into a pre-trained traffic-accident identifying model to obtain an accident-information identifying result of a road which at least includes an accident identifying result. In the present application, the accident road may be automatically identified according to the road features, the environmental features and the road traffic stream features. Compared with a traditional manual reporting way, timeliness is stronger, and a coverage rate is higher.
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3.发明申请公开(公告)号：US20220075952A1
公开(公告)日：2022-03-10
申请号：US17210169
申请日：2021-03-23
Inventor： Shengtong Xu , Xiao Yang , Yingding He , Miao Fan
IPC: G06F40/30 , G06F40/109 , G06F40/44 , H04L12/58
Abstract: The present application discloses a method and apparatus for recommending expression to user, a device and a computer storage medium, which relates to the field of deep learning and big data technologies. An implementation includes: acquiring an input message; in response to the input message triggering expression recommendation, determining the occurrence probability of each candidate expression in the input message based on the expression triggering probability of a similar history message of the input message and the probability of each candidate expression input along with the similar history message; and determining an expression recommended to a user from the candidate expressions according to the occurrence probabilities. With the present application, the expression input efficiency of a user may be improved, and network traffic may be saved.
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4.发明申请公开(公告)号：US20210398427A1
公开(公告)日：2021-12-23
申请号：US16951922
申请日：2020-11-18
Inventor： Jizhou HUANG , Haifeng Wang , Hao Zhang , Miao Fan
Abstract: A method and apparatus for identifying a traffic accident, a device and a computer storage medium are disclosed, which relates to the technical fields of intelligent traffic and big data. An implementation includes: acquiring road features, environmental features and road traffic stream features; inputting the road features, the environmental features and the road traffic stream features into a pre-trained traffic-accident identifying model to obtain an accident-information identifying result of a road which at least includes an accident identifying result. In the present application, the accident road may be automatically identified according to the road features, the environmental features and the road traffic stream features. Compared with a traditional manual reporting way, timeliness is stronger, and a coverage rate is higher.
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