利索-全球专利检索

  1. 登录
  2. 注册

搜索结果

360 条记录 (耗时 0.03 秒)

    SYSTEMS AND METHODS OF IDENTIFYING RELATIVE ORDERING FOR ELECTRONIC DATA TRANSACTION REQUESTS
    1.
    发明公开
    SYSTEMS AND METHODS OF IDENTIFYING RELATIVE ORDERING FOR ELECTRONIC DATA TRANSACTION REQUESTS 审中-公开

    公开(公告)号：US20240354853A1

    公开(公告)日：2024-10-24

    申请号：US18763221

    申请日：2024-07-03

    申请人： NASDAQ, INC.

    发明人： Leo GOLUBOVSKY

    IPC分类号： G06Q40/04

    CPC分类号： G06Q40/04

    摘要： An electronic exchange computing system is provided that includes a computer storage system, at least one transceiver, and a processing system. The storage system stores an electronic order book. The transceiver receives data transaction requests and transmits messages of an electronic data feed. The processing system generates an identifier, which may be referred to as a transaction identifier, for received data transaction requests. The identifier may be generated in a non-sequential and increasing manner such that it is greater than previously generated identifiers. The processing system will process the data transaction request and generate an electronic data feed message based on how data transaction request is handled. The electronic data feed message is sent to client computing system and includes the generated identifier.

    SYSTEMS AND METHODS OF OPTIMIZING RESOURCE ALLOCATION USING MACHINE LEARNING AND PREDICTIVE CONTROL
    4.
    发明公开
    SYSTEMS AND METHODS OF OPTIMIZING RESOURCE ALLOCATION USING MACHINE LEARNING AND PREDICTIVE CONTROL 审中-公开

    公开(公告)号：US20240168808A1

    公开(公告)日：2024-05-23

    申请号：US18426679

    申请日：2024-01-30

    申请人： Nasdaq, Inc.

    发明人： Shihui CHEN ,  Keon Shik KIM ,  Douglas HAMILTON

    IPC分类号： G06F9/50 ,  G06N20/00

    CPC分类号： G06F9/5027 ,  G06F9/50 ,  G06N20/00

    摘要： A computer system includes a transceiver that receives over a data communications network different types of input data from multiple source nodes and a processing system that defines for each of multiple data categories, a set of groups of data objects for the data category based on the different types of input data. Predictive machine learning model(s) predict a selection score for each group of data objects in the set of groups of data objects for the data category for a predetermined time period. Control machine learning model(s) determine how many data objects are permitted for each group of data objects based on the selection score. Decision-making machine learning model(s) prioritize the permitted data objects based on one or more predetermined priority criteria. Subsequent activities of the computer system are monitored to calculate performance metrics for each group of data objects and for data objects actually selected during the predetermined time period. Predictive machine learning model(s) and decision-making machine learning model(s) are adjusted based on the performance metrics to improve respective performance(s).

    Computer-implemented systems and methods for intelligently retrieving, analyzing, and synthesizing data from databases
    7.
    发明授权
    Computer-implemented systems and methods for intelligently retrieving, analyzing, and synthesizing data from databases 有权

    公开(公告)号：US11934436B2

    公开(公告)日：2024-03-19

    申请号：US18127096

    申请日：2023-03-28

    申请人： Nasdaq, Inc.

    发明人： Henry Pearce ,  James Tickner

    IPC分类号： G06F16/335 ,  G06F16/33 ,  G06F16/35 ,  G06Q40/06

    CPC分类号： G06F16/337 ,  G06F16/334 ,  G06F16/355 ,  G06Q40/06

    摘要： A computer extracts from contact records that each include a contact identifier, a group identifier for each group with which the contact has had an interaction, and interaction information that indicates a number of interactions and a timing of a most recent interaction. The contact data records are processed to generate a contact profile record for each contact including group metric values and a corresponding value for each group metric value based on an interaction history of groups the contact has interacted with. An interaction analytics databases stores a set of contact profile records and group profile records for groups that include metric values associated with the group and an interaction history. They are processed with at least thousands of the contact profile records to determine group-contact compatibility factors. A compatibility parameter is generated and communicated for each of at least thousands of contacts based on the group-contact compatibility parameters.

    SYSTEMS AND METHODS OF SECURE PROVENANCE FOR DISTRIBUTED TRANSACTION DATABASES
    10.
    发明公开
    SYSTEMS AND METHODS OF SECURE PROVENANCE FOR DISTRIBUTED TRANSACTION DATABASES 审中-公开

    公开(公告)号：US20230421387A1

    公开(公告)日：2023-12-28

    申请号：US18460347

    申请日：2023-09-01

    申请人： NASDAQ, INC.

    发明人： Alex ZINDER

    IPC分类号： H04L9/32 ,  H04L9/40 ,  G06F16/21 ,  G06F21/62

    CPC分类号： H04L9/3247 ,  H04L63/123 ,  G06F16/219 ,  G06F21/6254 ,  H04L9/3239 ,  G06F2221/2101 ,  H04L2209/56 ,  H04L9/50

    摘要： An electronic resource tracking and storage computer system is provided that communicates with a distributed blockchain computing system that includes multiple computing nodes. The system includes a storage system, a transceiver, and a processing system. The storage system includes an resource repository and transaction repository that stores submitted blockchain transactions. A new resource issuance request is received, and a new resource is added to the resource repository in response. A new blockchain transaction is generated and published to the blockchain. In correspondence with publishing to the blockchain, the transaction storage is updated with information that makes up the blockchain transaction and some information that was not included as part of the blockchain transaction. The transaction storage is updated when the blockchain is determined to have validated the previously submitted blockchain transaction.