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    Quality of experience (QoE) scoring in a service provider network
    22.
    发明授权
    Quality of experience (QoE) scoring in a service provider network 有权

    公开(公告)号：US11757734B1

    公开(公告)日：2023-09-12

    申请号：US17174878

    申请日：2021-02-12

    Applicant: CSC Holdings, LLC

    Inventor： Shashank Somal ,  Rajesh Khandelwal

    IPC: H04W24/08 ,  H04L41/5067 ,  H04L43/0817 ,  H04W24/02

    CPC classification number: H04L41/5067 ,  H04L43/0817 ,  H04W24/02 ,  H04W24/08

    Abstract: Systems, methods, and apparatuses disclosed herein can evaluate collections of operational information received from one or more subscriber devices to determine one or more Quality of Experience (QoE) scores for the one or more subscriber devices and/or one or more subscriber premises that are associated with the one or more subscriber devices. Generally, the one or more QoE scores can represent one or more numerically quantitative measures relating to the facilitation of a service by a service provider system. In some embodiments, the one or more QoE scores can represent one or more numerically quantitative measures relating to the experience of one or more subscribers that are associated with the one or more subscriber devices. In these embodiments, the one or more QoE scores can represent numerically quantitative measures of the subjective experience, for example, satisfaction or unsatisfaction, of the one or more subscribers with the service.

    System and Method for Dynamic Time Estimates
    24.
    发明公开
    System and Method for Dynamic Time Estimates 审中-公开

    公开(公告)号：US20230198864A1

    公开(公告)日：2023-06-22

    申请号：US18109233

    申请日：2023-02-13

    Applicant: PAYPAL, INC.

    Inventor： Joshua Allen ,  Joshua Van Blake ,  Archana Murali

    IPC: H04L41/5009 ,  H04L41/5067 ,  H04L41/50 ,  G06F9/48

    CPC classification number: H04L41/5009 ,  G06F9/4881 ,  H04L41/5058 ,  H04L41/5067

    Abstract: Aspects of the present disclosure involve systems, methods, devices, and the like for obtaining real-time estimates. In one embodiment, a novel customizable, transferable system architecture is presented that enables the characterization of a task, designated for time estimate, into steps or processes. The characterization may occur using the novel architecture which introduces an estimates service module that can provide an initial timing estimate by obtaining a composite time estimate of all steps. Timing of each of the steps can be predicted using a job scheduling enterprise designed to model the job or step. In another embodiment, delays are captured by time estimate monitors which can provide the alerts and delta time differences. Such alerts and time differences can be updated and presented to the user.

    Method for generating a Quality of Experience (QoE) index by way of Ensemble of Expectation Scores
    25.
    发明公开
    Method for generating a Quality of Experience (QoE) index by way of Ensemble of Expectation Scores 审中-公开

    公开(公告)号：US20230179493A1

    公开(公告)日：2023-06-08

    申请号：US17541432

    申请日：2021-12-03

    Applicant: GUAVUS, Inc.

    Inventor： Kuldeep JIWANI

    IPC: H04L41/5067 ,  H04L41/142 ,  H04W24/10

    CPC classification number: H04L41/5067 ,  H04L41/142 ,  H04W24/10

    Abstract: A method provides telecom operators a single Quality of Experience (QoE) index to collectively interpret service experience and network experience by way of ensemble of expectation scores. The method includes the steps of mapping Key Performance Indicators (KPIs) of time-series data into multiple probability spaces of statistical expectation functions thereby producing time-series expectation scores; applying vector geometry to said time-series expectation scores for each of said statistical expectation functions thereby producing an N-Dimensional probability vector; normalizing correlations of said N-Dimensional probability vector across said KPIs thereby producing a normalized N-Dimensional probability vector; and generating a N-Dimensional probability distribution from the normalized N-Dimensional probability vector to produce an ensemble function. The ensemble function is then be applied to time-series data thereby producing an ensemble index, which represents the QoE (Quality of Experience).

    User Feedback for Learning of Network-Incident Severity
    26.
    发明公开
    User Feedback for Learning of Network-Incident Severity 审中-公开

    公开(公告)号：US20230164039A1

    公开(公告)日：2023-05-25

    申请号：US18056896

    申请日：2022-11-18

    Applicant: ARRIS Enterprises LLC

    Inventor： Maitreya Vadlamani

    IPC: H04L41/5067 ,  H04L41/0604 ,  H04L41/14 ,  H04L41/5009 ,  H04L41/16

    CPC classification number: H04L41/5067 ,  H04L41/0609 ,  H04L41/145 ,  H04L41/5009 ,  H04L41/16

    Abstract: A computer system that updates a pretrained predictive model is described. During operation, the computer system may receive, from an electronic device, information specifying user feedback about a network incident. Then, the computer system may update, based at least in part on the user feedback, the pretrained predictive model that outputs severity classifications of network incidents, where a difference between a severity classification of the updated pretrained predictive model and a user severity classification associated with the user feedback is reduced relative to an initial difference between an initial severity classification of the pretrained predictive model and the user severity classification. Moreover, the computer system may receive information specifying a second network incident. Next, the computer system may compute a second severity classification of the second network incident using the updated pretrained predictive model.

    INDICATOR VALUE AGGREGATION IN A MULTI-INSTANCE COMPUTING ENVIRONMENT
    27.
    发明申请
    INDICATOR VALUE AGGREGATION IN A MULTI-INSTANCE COMPUTING ENVIRONMENT 审中-公开

    公开(公告)号：US20180324059A1

    公开(公告)日：2018-11-08

    申请号：US15588078

    申请日：2017-05-05

    Applicant: ServiceNow, Inc.

    Inventor： AMANJIT SINGH JOHAL ,  MOHAMMED ABDUL FARHAN KHAN ,  MANJEET SINGH

    IPC: H04L12/26 ,  H04L12/24 ,  H04L29/08

    CPC classification number: H04L43/028 ,  H04L41/22 ,  H04L41/5009 ,  H04L41/5067 ,  H04L67/16 ,  H04L67/306

    Abstract: Indicator values are anonymously aggregated in a multi-instance computing environment. Aggregations of indicator values are received from customer instances in a multi-instance computing environment. At least one of the aggregations of indicator values is generated by a respective customer instance of the customer instances based on indicator values generated by the respective customer instance. The aggregations of indicator values are filtered to produce filtered aggregations, and the filtered aggregations are aggregated according to characteristics associated with at least some of the customer instances to generate global indicator values. Each global indicator value is generated from one or more of the filtered aggregations that are greater than a minimum threshold. One or more of the global indicator values may then be transmitted to a customer instance of the customer instances having a characteristic corresponding to those global indicator values.

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