公开(公告)号：US20170060930A1

公开(公告)日：2017-03-02

申请号：US15239585

申请日：2016-08-17

Applicant: PALANTIR TECHNOLOGIES INC.

Inventor： Matthew Elkherj ,  Xavier Falco ,  Pierre Cholet ,  Giulio D'Ali' Aula ,  Andrew Enrich

IPC: G06F17/30

CPC classification number: G06F17/30345 ,  G06F17/30554 ,  G06F17/30557 ,  G06Q30/0255 ,  G06Q30/0271 ,  G06Q30/0282 ,  G06Q50/01

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for a feature clustering of users, user correlation database access, and user interface generation system. The system can obtain information stored in different databases located across geographic regions, and determine unique users from the different information. The information can be included in unique records in the databases, with each record describing a particular user, and with each user described with imperfect identifying information. The system can analyze the different information utilizing machine learning models, and can associate each record with a particular unique user. The system can obtain identifications of items associated with each user, and determine the propensity of the user to disassociate with one or more items, or determine likelihoods of future association with different items not presently associated with the user.

Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于用户的特征聚类，用户关联数据库访问和用户界面生成系统。 系统可以获取存储在跨地理区域的不同数据库中的信息，并根据不同信息确定唯一用户。 信息可以包含在数据库中的唯一记录中，每个记录描述一个特定用户，并且每个用户都用不完备的识别信息进行描述。 该系统可以利用机器学习模型分析不同的信息，并且可以将每个记录与特定的唯一用户相关联。 该系统可以获得与每个用户相关联的项目的标识，并且确定用户与一个或多个项目分离的倾向，或者确定将来与当前未与用户相关联的不同项目的关联的可能性。