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公开(公告)号：US20210314737A1
公开(公告)日：2021-10-07
申请号：US17349859
申请日：2021-06-16
摘要： The present disclosure provides method and system to facilitate definition, tuning and visualization of a geo-fence at a computer system. The method comprises: receiving input parameters for a geo-fence, the input parameters including one or more parameters specifying a geographical region; sampling historical mobile signals based on one or more of the input parameters; dividing the geographical region into a plurality of areas; determining a weight for each respective area of the plurality of areas based at least on density of sampled mobile signals associated with geographical locations in the respective area; selecting a subset of the plurality of areas based on respective weights of the plurality of areas; and forming the geo-fence using the subset of the plurality of areas, the geo-fence including one or more contiguously closed regions each formed by a cluster of adjacent areas among the subset of the plurality of areas.
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公开(公告)号：US20230262419A1
公开(公告)日：2023-08-17
申请号：US18162653
申请日：2023-01-31
IPC分类号： H04W4/029 , G06F16/29 , G06F16/93 , G06F16/22 , G06Q30/0251 , H04W4/021 , H04L67/53 , G06Q30/0204
CPC分类号： H04W4/029 , G06F16/29 , G06F16/93 , G06F16/2228 , G06Q30/0261 , H04W4/021 , H04L67/53 , G06Q30/0205
摘要： The present disclosure provides method and system to facilitate definition, tuning and visualization of a geo-fence at a computer system. The method comprises: receiving input parameters for a geo-fence, the input parameters including one or more parameters specifying a geographical region; sampling historical mobile signals based on one or more of the input parameters; dividing the geographical region into a plurality of areas; determining a weight for each respective area of the plurality of areas based at least on density of sampled mobile signals associated with geographical locations in the respective area; selecting a subset of the plurality of areas based on respective weights of the plurality of areas; and forming the geo-fence using the subset of the plurality of areas, the geo-fence including one or more contiguously closed regions each formed by a cluster of adjacent areas among the subset of the plurality of areas.
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公开(公告)号：US20200053515A1
公开(公告)日：2020-02-13
申请号：US16660686
申请日：2019-10-22
发明人： Can Liang , Pravesh Katyal , Yilin Chen , Crystal Shi , Huitao Luo
摘要： The present disclosure provides methods and systems that utilize mobile device location events and machine learning and generate predicative classification/regression model for lookalike prediction. Location related features, together with other user level information, are extracted, transformed and used as model feature input, and a client specified list of mobile devices or their associated users are used as prediction target. This system makes efficient use of different types of location events and thus offers improved scale and performance. It also enjoys many benefits offered by a machine learning platform, such as automatic adaptation to different lists of seed lists, addition of new features and changes in data statistical properties.
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公开(公告)号：US20210127232A1
公开(公告)日：2021-04-29
申请号：US17078008
申请日：2020-10-22
摘要： A mobile device running a software application is configured to provide initial location data to a server when it is first turned on, or reaches a predetermined movement status. The server determines, based on the initial location data, geo data including a set of geo-fences near the mobile device and a region including areas defined by the set of geo-fences, and provides the geo data to the mobile device. The mobile device is further configured to collect its locations when the mobile device is within any of the set of geo-fences and to provide the collected locations to the server. The mobile device is further configured to track its movement status after it has been outside the region and, in response to having reached a predetermined movement status, obtain updated geo data including a new region and a new set of geo-fences from the server. The software application enables efficient tracking of mobile device locations and reduces power consumption.
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