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    Feature clustering of users, user correlation database access, and user interface generation system
    21.
    发明授权
    Feature clustering of users, user correlation database access, and user interface generation system 有权

    公开(公告)号：US11126609B2

    公开(公告)日：2021-09-21

    申请号：US16198614

    申请日：2018-11-21

    Applicant: Palantir Technologies Inc.

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

    IPC: G06Q30/02 ,  G06F16/23 ,  G06F16/25 ,  G06F16/248 ,  G06Q50/00

    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.

    AUTOMATED ASSISTANCE FOR GENERATING RELEVANT AND VALUABLE SEARCH RESULTS FOR AN ENTITY OF INTEREST
    24.
    发明申请
    AUTOMATED ASSISTANCE FOR GENERATING RELEVANT AND VALUABLE SEARCH RESULTS FOR AN ENTITY OF INTEREST 审中-公开

    公开(公告)号：US20180322198A1

    公开(公告)日：2018-11-08

    申请号：US15584423

    申请日：2017-05-02

    Applicant: Palantir Technologies Inc.

    Inventor： Matthew Elkherj ,  Ashley Einspahr ,  Breanna Bunge ,  Chris Hammett ,  Erika Crawford Tom ,  Mitchell Beard ,  Ryan Beiermeister ,  Seelig Sinton ,  Sharon Hao ,  William Ayers ,  Seth Robinson

    IPC: G06F17/30

    CPC classification number: G06F17/30864 ,  G06F17/30722

    Abstract: 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.

    CRIME RISK FORECASTING
    25.
    发明申请
    CRIME RISK FORECASTING 审中-公开
    犯罪风险预测

    公开(公告)号：US20150379413A1

    公开(公告)日：2015-12-31

    申请号：US14843734

    申请日：2015-09-02

    Applicant: Palantir Technologies, Inc.

    Inventor： Duncan Robertson ,  Alexander Sparrow ,  Mike Lewin ,  Meline Von Brentano ,  Matthew Elkherj ,  Rafael Cosman

    IPC: G06N5/04 ,  G06N99/00

    CPC classification number: G06N5/04 ,  G06F3/0481 ,  G06N5/048 ,  G06N99/005 ,  G06Q10/04 ,  G06Q10/10 ,  G06Q50/26 ,  G06Q50/265

    Abstract: 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.

    Abstract translation: 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。

    SYSTEMS AND METHODS FOR CONTEXT-BASED KEYWORD SEARCHING
    27.
    发明申请
    SYSTEMS AND METHODS FOR CONTEXT-BASED KEYWORD SEARCHING 有权

    公开(公告)号：US20230020057A1

    公开(公告)日：2023-01-19

    申请号：US17948905

    申请日：2022-09-20

    Applicant: Palantir Technologies Inc.

    Inventor： Mitchell Beard ,  Jeffrey Bagdis ,  Christopher Brahms ,  Ashley Einspahr ,  Clare Adrien ,  Arvind Raju ,  Matthew Elkherj

    IPC: G06F16/9535 ,  G06F16/248

    Abstract: Systems and methods are provided for performing context-based keyword searching using a search bar. Based on search terms received via the search bar, the system may be configured to provide suggested search parameters to associate with that search term. The suggested search parameters may each include a type of data and/or a filter to associate with the search term (e.g., name, phone number, date of birth, etc.). The one or more suggested search parameters may be identified based on the search term itself, a list of possible types of data or filters, a preliminary search of one or more datasets, a record of one or more previous searches performed, requirements associated with one or more searchable datasets, the format of user input received via the search bar, and/or one or more other factors.

    Framework for exposing network activities
    28.
    发明授权
    Framework for exposing network activities 有权

    公开(公告)号：US11481410B1

    公开(公告)日：2022-10-25

    申请号：US16835221

    申请日：2020-03-30

    Applicant: Palantir Technologies Inc.

    Inventor： Benjamin Funk ,  Christian Burchhardt ,  Jakob Juelich ,  Lawrence Manning ,  Matthew Elkherj

    IPC: G06F16/28 ,  G06F16/951

    Abstract: Systems and methods are provided for investigation network activities. Network activity information may be accessed. The network activity information may describe for an individual (1) respective relationship with one or more persons; and (2) respective activity status information indicating whether a given person has engaged in a particular activity. A network activity graph may be generated based on the network activity information. The network activity graph may include two or more nodes representing the individual and the one or more persons. Connections between the nodes may represent the respective relationships between the individual and the one or more persons. Data corresponding to the network activity graph may be presented through an interface.

    Automated assistance for generating relevant and valuable search results for an entity of interest
    30.
    发明授权
    Automated assistance for generating relevant and valuable search results for an entity of interest 有权

    公开(公告)号：US11210350B2

    公开(公告)日：2021-12-28

    申请号：US16261250

    申请日：2019-01-29

    Applicant: Palantir Technologies Inc.

    Inventor： Matthew Elkherj ,  Ashley Einspahr ,  Breanna Bunge ,  Chris Hammett ,  Erika Crawford Tom ,  Mitchell Beard ,  Ryan Beiermeister ,  Seelig Sinton ,  Sharon Hao ,  William Ayers ,  Seth Robinson

    IPC: G06F16/951 ,  G06F16/38

    Abstract: 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.

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