- 专利标题: Systems and Methods for Discovering Lookalike Mobile Devices
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申请号: US16660686申请日: 2019-10-22
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公开(公告)号: US20200053515A1公开(公告)日: 2020-02-13
- 发明人: Can Liang , Pravesh Katyal , Yilin Chen , Crystal Shi , Huitao Luo
- 申请人: XAD INC. (dba GROUNDTRUTH)
- 主分类号: H04W4/029
- IPC分类号: H04W4/029 ; H04W4/18 ; G06N20/20 ; G06N5/00 ; G06N20/00 ; H04W4/021
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.
公开/授权文献
- US10715962B2 Systems and methods for predicting lookalike mobile devices 公开/授权日:2020-07-14
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