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    Integrated, information-engineered and self- improving advertising, e-commerce and online customer interactions apparatuses, processes and system
    1.
    发明授权
    Integrated, information-engineered and self- improving advertising, e-commerce and online customer interactions apparatuses, processes and system 有权

    公开(公告)号：US12038994B2

    公开(公告)日：2024-07-16

    申请号：US17126019

    申请日：2020-12-17

    申请人： Content Directions, Inc.

    发明人： David Anthony Sidman

    IPC分类号： G06Q30/02 ,  G06F16/957 ,  G06Q30/0251 ,  G06Q30/0273

    CPC分类号： G06F16/957 ,  G06Q30/0269 ,  G06Q30/0273

    摘要： The Integrated, Information-Engineered and Self-Improving Advertising, E-Commerce and Online Customer Interactions Apparatuses, Processes and Systems (“ISICI”) transforms menu identifier, menu target identifier, menu content hierarchy items, menu specification, indicia of usage inputs via ISICI components into menu/user interface, user interface updates, transactions, metrics outputs. In one embodiment, the ISICI is comprised of three components: 1) a creation and maintenance of MultiLink menus component; 2) a registration and updating of the underlying multilink records component; and 3) a distribution/syndication of the MultiLink menus component. The ISICI allows for the creation of MultiLink menus. These menus may appear over any links, ads, ecommerce, etc. The ISICI provides a mechanism to track how users use the MultiLink menu. This tracking information is fed back to the ISICI, which allows it to further refine the menu structure in response to actual usage tracking. As such, the ISICI manages to compress the purchasing cycle from months down to moments, and/or to service a wider range of customer prospects who are already in various stages of the purchasing cycle.

    Multichannel master feeder exchange mechanism apparatuses, methods and systems
    2.
    发明授权
    Multichannel master feeder exchange mechanism apparatuses, methods and systems 有权

    公开(公告)号：US11893636B1

    公开(公告)日：2024-02-06

    申请号：US14495765

    申请日：2014-09-24

    申请人： FMR, LLC

    发明人： Marc R Bryant ,  Gregory A Friedman ,  Scott Kirk O'Reilly ,  Ralph Joseph Wolf

    IPC分类号： G06Q40/08 ,  G06Q10/04 ,  H04L51/046 ,  H04L67/10 ,  H04L9/40

    CPC分类号： G06Q10/04 ,  H04L51/046 ,  H04L63/168 ,  H04L67/10

    摘要： The Multichannel Master Feeder Exchange Mechanism Apparatuses, Methods and Systems (“MMFEM”) transforms user share purchase, redemption request inputs via MMFEM components into fund share transaction records outputs. A processor-implemented non-transparent, master-feeder, master-feeder investment vehicle management, multichannel datastructure apparatus, comprising a processor and memory. The MMFEM memory having instructions to instantiate a multichannel asset vehicle configuration datapath and create a the multichannel vehicle data structure. The MMFEM may then determine a plurality of investment share data structures for the multichannel asset vehicle data structure and facilitate a transaction of investment shares data structures of the multichannel investment vehicle data structure based on the determined share price, wherein a master fund establishes a data feed for feeder funds to track.

    Multidimensional machine learning data and user interface segment tagging engine apparatuses, methods and systems
    4.
    发明授权
    Multidimensional machine learning data and user interface segment tagging engine apparatuses, methods and systems 有权

    公开(公告)号：US11676070B1

    公开(公告)日：2023-06-13

    申请号：US17111477

    申请日：2020-12-03

    申请人： Momentum NA, Inc.

    发明人： Jason Alan Snyder ,  Manuel De Araujo Pedreira Neto ,  Elena Klau Silverman ,  Stephen Michael Gorman ,  Michael Clark

    IPC分类号： G06N20/00 ,  G06F16/835 ,  G06F16/242

    CPC分类号： G06N20/00 ,  G06F16/2433 ,  G06F16/835

    摘要： The Multidimensional Machine Learning Data and User Interface Segment Tagging Engine Apparatuses, Methods and Systems (“MLUI”) transforms ambient condition data, sales data, user interface selections, cognitive intelligence question input inputs via MLUI components into project projections, campaigns, user interface visualizations, cognitive intelligence question output outputs. A cognitive intelligence (CI) datapoint identifier cache datastructure is generated, the CI datapoint identifier cache datastructure configured to comprise a category identifier and an entity segment identifier. A CI datapoint value cache datastructure is generated, the CI datapoint value cache datastructure configured to comprise a set of module datastructures, each module datastructure corresponding to a module identifier associated with the category identifier, each module datastructure comprising a set of metric datastructures, each metric datastructure corresponding to a set of calculated metrics. The generated CI datapoint identifier cache datastructure and the generated CI datapoint value cache datastructure are stored as a key-value pair.

    Crowdsource and conversational contextual information injection apparatuses, methods and systems
    7.
    发明授权
    Crowdsource and conversational contextual information injection apparatuses, methods and systems 有权

    公开(公告)号：US10997633B2

    公开(公告)日：2021-05-04

    申请号：US15610581

    申请日：2017-05-31

    申请人： Click Sales Inc.

    发明人： Christopher Robert McClave ,  Christopher Edward Haffey ,  Edward Katzin ,  Andrew Hust ,  Vera Coberley

    IPC分类号： G06Q30/02 ,  H04L29/08 ,  G06Q40/06 ,  G06Q50/00

    摘要： The Crowdsource and Conversational Contextual Information Injection Apparatuses, Methods and Systems (“CCCII”) transforms communication data, advertising link click request, campaign generation request, campaign search request, campaign investment request inputs via CCCII components into commission settlement, vendor ad campaign data, campaign search response, campaign investment confirmation, campaign control outputs. A tracking link request is obtained from a source communication channel. A match target for the contents is determined, and an attribution link is retrieved. A tracking link configured to identify the source channel and the attribution link is generated and provided to the source channel. A tracking link click request is obtained from the receiving user. The tracking link is analyzed to determine the source channel and the attribution link. A tracking cookie is placed on the receiving user's client. The attribution link is configured using the pixel drop data. The receiving user's client is redirected to the configured attribution link.

    Multi-factor risk modeling platform
    9.
    发明授权
    Multi-factor risk modeling platform 有权

    公开(公告)号：US10157419B1

    公开(公告)日：2018-12-18

    申请号：US13370396

    申请日：2012-02-10

    申请人： Andrew Xu ,  Aaron H. Gao

    发明人： Andrew Xu ,  Aaron H. Gao

    IPC分类号： G06Q40/06 ,  G06Q40/00

    摘要： A high performance platform for execution of a multi-factored risk models is described. The platform calculates risk exposures of investment portfolios in response to market events using metadata risk factor modules. Described are techniques for tracking and editing the metadata risk factor modules. Also described are SQL implemented approaches for aggregating risk exposures and conditional risk simulation techniques.