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公开(公告)号：US10019442B2
公开(公告)日：2018-07-10
申请号：US14726561
申请日：2015-05-31
摘要： The present invention provides a method and system delivering graph-based metric to measure a similarity between weighted sets of classifications codes (presented as nodes) defined on hierarchical taxonomy trees. The suggested method is applied to find company peers in a particular domain, e.g., the IP domain based on a company patent portfolio. The suggested method may be applied to other domains that include hierarchical classifications such as trademarks, legal documents, scientific papers, lawsuits etc.
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公开(公告)号：US20160350294A1
公开(公告)日：2016-12-01
申请号：US14726561
申请日：2015-05-31
CPC分类号： G06F17/30011 , G06F17/3053 , G06F17/30554 , G06F17/30643 , G06F17/30734 , G06F17/30864 , G06Q10/10
摘要： The present invention provides a method and system delivering graph-based metric to measure a similarity between weighted sets of classifications codes (presented as nodes) defined on hierarchical taxonomy trees. The suggested method is applied to find company peers in a particular domain, e.g., the IP domain based on a company patent portfolio. The suggested method may be applied to other domains that include hierarchical classifications such as trademarks, legal documents, scientific papers, lawsuits etc.
摘要翻译： 本发明提供一种方法和系统，其提供基于图的度量以测量在分层分类树上定义的分类代码（呈现为节点）的加权集合之间的相似度。 所提出的方法被应用于在特定域中寻找公司对等体，例如基于公司专利组合的IP域。 建议的方法可以应用于其他域，包括商标，法律文件，科学论文，诉讼等层次分类。
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公开(公告)号：US20190012367A1
公开(公告)日：2019-01-10
申请号：US16019157
申请日：2018-06-26
发明人： Omar Bari , Alex Constandache , Laura Gaze , Emily Lyons , Michael Moore , Corey Ouellette , Brian Romer , Shraddha Sawardekar , Amit Shavit , Brian Ulicny
摘要： Described herein are systems and methods for an entity ranking system. In one embodiment, a computing system is configured to interface with one or more domains to identify a set of entities. The computing system can ascertain a first set of data components for each entity, normalize each of the first set of data components for each entity, and detect a failure to ascertain a second set of data components. The computing system can compute a statistical probability for a possible set of values for each data component of the second set based on the ascertained first set of data components. The computing system can rank each entity based on a derived quantile. The computing system can generate a graphical user interface including a visualization of the ranking of each entity, which can be rendered on a display of the at least one user computing devices.
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