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1. 发明申请

US20220138272A1 AUTOMATED ASSISTANCE FOR GENERATING RELEVANT AND VALUABLE SEARCH RESULTS FOR AN ENTITY OF INTEREST 有权
公开(公告)号：US20220138272A1
公开(公告)日：2022-05-05
申请号：US17564056
申请日：2021-12-28
申请人： Palantir Technologies Inc.
发明人： Matthew Elkherj , Ashley Einspahr , Breanna Bunge , Chris Hammett , Erika Crawford Tom , Mitchell Beard , Ryan Beiermeister , Seelig Sinton , Sharon Hao , William Ayers , Seth Robinson
IPC分类号： G06F16/951 , G06F16/38
摘要： Systems and methods are provided for identifying relevant information for an entity, referred to as a seed entity. A plurality of search queries can be generated each comprising a property of a seed entity or one of the entities associated with the seed entity (seed-linked entities). Preferably, a collection of search queries includes ones representing different properties of the seed entity and properties of different seed-linked entities. Optionally, the collection of search queries is optimized to reduce search burden. Searches can then be conducted with the search queries in one or more data sources to obtain a plurality of search results, wherein each search result comprises a hit entity and one or more entities associated with the hit entity (hit-linked entity). For each of the search results, a score can be determined taking as input (a) likelihood of match between the seed entity and the hit entity or between a seed-linked entity and a hit-linked entity, (b) presence of a new entity in the search result not present in the search queries or a difference between the new entity and an entity present in the search queries, and (c) characteristic of the new entity in the search result. Based on the scores, high priority search results can be presented a user for further analysis.

2. 发明授权

US11221898B2 Systems and methods for validating data 有权
公开(公告)号：US11221898B2
公开(公告)日：2022-01-11
申请号：US16675056
申请日：2019-11-05
申请人： Palantir Technologies Inc.
发明人： David Lisuk , Guodong Xu , Luis Voloch , Matthew Elkherj
IPC分类号： G06F3/048 , G06F17/18 , G06F16/43 , G06F11/07 , G06Q10/10 , G06F16/23
摘要： Systems and methods are validating data in a data set. A data set including data to validate and a validator to use in validating the data is selected based on user input generated based on interactions of a user with a graphical user interface. The validator is applied to the data to determine whether one or more statistics generated through application of the validator to the data is valid or invalid based on a validation routine associated with the validator. A data quality report indicating whether the data set is valid or invalid, based on a determination of whether the one or more statistics is valid or invalid, is generated and selectively presented to the user through the graphical user interface.

3. 发明申请

US20200073743A1 SYSTEMS AND METHODS FOR VALIDATING DATA 审中-公开
公开(公告)号：US20200073743A1
公开(公告)日：2020-03-05
申请号：US16675056
申请日：2019-11-05
申请人： Palantir Technologies Inc.
发明人： David Lisuk , Guodong Xu , Luis Voloch , Matthew Elkherj
IPC分类号： G06F11/07 , G06Q10/10 , G06F3/048 , G06F16/23 , G06F17/18 , G06F16/43
摘要： Systems and methods are validating data in a data set. A data set including data to validate and a validator to use in validating the data is selected based on user input generated based on interactions of a user with a graphical user interface. The validator is applied to the data to determine whether one or more statistics generated through application of the validator to the data is valid or invalid based on a validation routine associated with the validator. A data quality report indicating whether the data set is valid or invalid, based on a determination of whether the one or more statistics is valid or invalid, is generated and selectively presented to the user through the graphical user interface.

4. 发明申请

US20170060930A1 FEATURE CLUSTERING OF USERS, USER CORRELATION DATABASE ACCESS, AND USER INTERFACE GENERATION SYSTEM 审中-公开
标题翻译：用户特征集，用户关联数据库访问和用户界面生成系统
公开(公告)号：US20170060930A1
公开(公告)日：2017-03-02
申请号：US15239585
申请日：2016-08-17
申请人： PALANTIR TECHNOLOGIES INC.
发明人： Matthew Elkherj , Xavier Falco , Pierre Cholet , Giulio D'Ali' Aula , Andrew Enrich
IPC分类号： G06F17/30
CPC分类号： G06F17/30345 , G06F17/30554 , G06F17/30557 , G06Q30/0255 , G06Q30/0271 , G06Q30/0282 , G06Q50/01
摘要： 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.
摘要翻译：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。

5. 发明授权

US09129219B1 Crime risk forecasting 有权
标题翻译：犯罪风险预测
公开(公告)号：US09129219B1
公开(公告)日：2015-09-08
申请号：US14319161
申请日：2014-06-30
申请人： Palantir Technologies, Inc.
发明人： Duncan Robertson , Alexander Sparrow , Mike Lewin , Meline Von Brentano , Matthew Elkherj , Rafael Cosman
IPC分类号： G06N5/04 , G06N99/00
CPC分类号： G06N5/04 , G06F3/0481 , G06N5/048 , G06N99/005 , G06Q10/04 , G06Q10/10 , G06Q50/26 , G06Q50/265
摘要： A computer-based crime risk forecasting system and corresponding method are provided for generating crime risk forecasts and conveying the forecasts to a user. With the conveyed forecasts, the user can more effectively gauge both the level of increased crime threat and its potential duration. The user can then leverage the information conveyed by the forecasts to take a more proactive approach to law enforcement in the affected areas during the period of increased crime threat.
摘要翻译：提供了基于计算机的犯罪风险预测系统和相应的方法，用于生成犯罪风险预测并向用户传达预测。随着传达的预测，用户可以更有效地衡量犯罪威胁增加的程度及其潜在的持续时间。然后，用户可以利用预测传达的信息，在犯罪威胁增加期间，对受影响地区的执法采取更积极的态度。

6. 发明授权

US11436523B2 Systems and methods for selecting machine learning training data 有权
公开(公告)号：US11436523B2
公开(公告)日：2022-09-06
申请号：US16027161
申请日：2018-07-03
申请人： Palantir Technologies Inc.
发明人： Daniel Erenrich , Matthew Elkherj
IPC分类号： G06N5/04 , G06N20/00
摘要： Systems and methods are provided for selecting training examples to increase the efficiency of supervised active machine learning processes. Training examples for presentation to a user may be selected according to measure of the model's uncertainty in labeling the examples. A number of training examples may be selected to increase efficiency between the user and the processing system by selecting the number of training examples to minimize user downtime in the machine learning process.

7. 发明授权

US11209971B1 System and user interfaces for rapid analysis of viewership information 有权
公开(公告)号：US11209971B1
公开(公告)日：2021-12-28
申请号：US16931976
申请日：2020-07-17
申请人： Palantir Technologies Inc.
发明人： Andrew Pettit , Adam Schexnayder , Ashwin Sreenivas , Daniel Spangenberger , Gary Lin , Joules Nahas , Lucas Lemanowicz , Matthew Elkherj , Natasha Armbrust , Tomer Kremerman , Tinlok Pang , Yehonatan Steinmetz
IPC分类号： G06F3/0482 , G06F3/0484 , G06F16/245 , G06F16/25 , G06Q30/02 , G06F16/242 , G06F16/248 , G06F16/9032
摘要： Systems and methods are disclosed for systems and user interfaces for rapid analysis of viewership information. One of the methods includes accessing databases storing viewership information associated with segments, with each segment being associated with common features of viewers. Measures of association between the segment and content items are maintained for each segment. An interactive user interface is presented via a user device, the interactive user interface enabling creation of a customized viewing audience. The interactive user interface receives user input indicating a segment, identifies similar segments based on associations between features of the segment and of other segments, and presents the identified segments. Analysis information associated with the segments is presented for at least one of the one or more segments, with the segments being included in the customized viewing audience.

8. 发明授权

US10311074B1 Identification and compiling of information relating to an entity 有权
公开(公告)号：US10311074B1
公开(公告)日：2019-06-04
申请号：US15590956
申请日：2017-05-09
申请人： Palantir Technologies Inc.
发明人： Mitchell Beard , Allen Chang , Chris Hammett , Jeremy Liu , Matthew Elkherj , Ryan Beiermeister , Ryan Smith , Tatyana Gordeeva , William Ayers
IPC分类号： G06F16/20 , G06F16/25 , G06F16/248 , G06F16/2455 , G06F16/2457 , G06Q10/06
摘要： Systems and methods are provided for identifying and compiling information relating to an entity for investigative analysis. The system may comprise one or more processors and a memory storing instructions that, when executed by the one or more processors, cause the system to search, in one or more data sources, with a plurality of known characteristics of an entity to obtain a first plurality of records, identify from the first plurality of records a subset of records that match the known characteristics with a substantial confidence, compile the subset of records to form a unified record representing the entity and conduct a second search with information from the unified record to obtain a second plurality of search results.

9. 发明申请

US20190163709A1 AUTOMATED ASSISTANCE FOR GENERATING RELEVANT AND VALUABLE SEARCH RESULTS FOR AN ENTITY OF INTEREST 审中-公开
公开(公告)号：US20190163709A1
公开(公告)日：2019-05-30
申请号：US16261250
申请日：2019-01-29
申请人： Palantir Technologies Inc.
发明人： Matthew Elkherj , Ashley Einspahr , Breanna Bunge , Chris Hammett , Erika Crawford Tom , Mitchell Beard , Ryan Beiermeister , Seelig Sinton , Sharon Hao , William Ayers
IPC分类号： G06F16/951 , G06F16/38
摘要： Systems and methods are provided for identifying relevant information for an entity, referred to as a seed entity. A plurality of search queries can be generated each comprising a property of a seed entity or one of the entities associated with the seed entity (seed-linked entities). Preferably, a collection of search queries includes ones representing different properties of the seed entity and properties of different seed-linked entities. Optionally, the collection of search queries is optimized to reduce search burden. Searches can then be conducted with the search queries in one or more data sources to obtain a plurality of search results, wherein each search result comprises a hit entity and one or more entities associated with the hit entity (hit-linked entity). For each of the search results, a score can be determined taking as input (a) likelihood of match between the seed entity and the hit entity or between a seed-linked entity and a hit-linked entity, (b) presence of a new entity in the search result not present in the search queries or a difference between the new entity and an entity present in the search queries, and (c) characteristic of the new entity in the search result. Based on the scores, high priority search results can be presented a user for further analysis.

10. 发明授权

US10127289B2 Systems and methods for automatic clustering and canonical designation of related data in various data structures 有权
公开(公告)号：US10127289B2
公开(公告)日：2018-11-13
申请号：US15233149
申请日：2016-08-10
申请人： Palantir Technologies Inc.
发明人： Lawrence Manning , Rahul Mehta , Daniel Erenrich , Guillem Palou Visa , Roger Hu , Xavier Falco , Rowan Gilmore , Eli Bingham , Jason Prestinario , Yifei Huang , Daniel Fernandez , Jeremy Elser , Clayton Sader , Rahul Agarwal , Matthew Elkherj , Nicholas Latourette , Aleksandr Zamoshchin
IPC分类号： G06F17/30
摘要： Computer implemented systems and methods are disclosed for automatically clustering and canonically identifying related data in various data structures. Data structures may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying clusters of records associated with a respective entity by grouping the records into pairs, analyzing the respective pairs to determine a probability that both members of the pair relate to a common entity, and identifying a cluster of overlapping pairs to generate a collection of records relating to a common entity. Clusters may further be analyzed to determine canonical names or other properties for the respective entities by analyzing record fields and identifying similarities.

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