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公开(公告)号：US20210365803A1
公开(公告)日：2021-11-25
申请号：US17392695
申请日：2021-08-03
发明人： Atanu Roy , Jianlong Qi , Peng Jiang , Aaron Ling , Rey Furner , Lei Wu , Eugene Greenwood , Ian Stiles
摘要： Systems and methods for determining whether two tree persons in a genealogical database correspond to the same real-life individual. Embodiments include identifying two tree persons in a genealogical database and extracting a plurality of features from both tree persons to generate two vectors. Embodiments also include calculating a plurality of metrics between the two vectors to generate a metric function. Embodiments further include generating feature weights using a recursive process based on training data input by external users, and generating a score by calculating a weighted sum of the metric function being weighted by the feature weights. The generated score may then be compared to a threshold value.
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2.发明申请公开(公告)号：US20170293861A1
公开(公告)日：2017-10-12
申请号：US15479291
申请日：2017-04-05
发明人： Atanu Roy , Jianlong Qi , Peng Jiang , Aaron Ling , Rey Furner , Lei Wu , Eugene Greenwood , Ian Stiles
摘要： Systems and methods for determining whether two tree persons in a genealogical database correspond to the same real-life individual. Embodiments include identifying two tree persons in a genealogical database and extracting a plurality of features from both tree persons to generate two vectors. Embodiments also include calculating a plurality of metrics between the two vectors to generate a metric function. Embodiments further include generating feature weights using a recursive process based on training data input by external users, and generating a score by calculating a weighted sum of the metric function being weighted by the feature weights. The generated score may then be compared to a threshold value.
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公开(公告)号：US11113609B2
公开(公告)日：2021-09-07
申请号：US15479291
申请日：2017-04-05
发明人： Atanu Roy , Jianlong Qi , Peng Jiang , Aaron Ling , Rey Furner , Lei Wu , Eugene Greenwood , Ian Stiles
摘要： Systems and methods for determining whether two tree persons in a genealogical database correspond to the same real-life individual. Embodiments include identifying two tree persons in a genealogical database and extracting a plurality of features from both tree persons to generate two vectors. Embodiments also include calculating a plurality of metrics between the two vectors to generate a metric function. Embodiments further include generating feature weights using a recursive process based on training data input by external users, and generating a score by calculating a weighted sum of the metric function being weighted by the feature weights. The generated score may then be compared to a threshold value.
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