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VIRTUAL NET PROMOTER SCORE (VNPS) FOR CELLULAR OPERATORS

机译:适用于蜂窝运营商的虚拟净促销分数(VNPS)

摘要

A computer implemented method of predicting a rating score of a cellular service for a plurality of cellular subscribers, comprising obtaining one or more machine learning models trained with a plurality of feature vectors created for a subset of a plurality of cellular subscribers of a cellular operator participating in a survey to rate a cellular service provided by the cellular operator through a cellular network where each of the feature vectors is created by extracting a plurality of features of a respective cellular subscriber of the subset, each feature vector is associated with a rating score assigned by the respective cellular subscriber, predicting an estimated rating score of the cellular service for other cellular subscribers by applying the machine learning model(s) to the feature vector of extracted features of each of the other cellular subscribers and outputting the estimated rating score for each of the other cellular subscribers.
机译:一种为多个蜂窝订户预测蜂窝服务的评级分数的计算机实现的方法,包括获得一个或多个机器学习模型,该机器学习模型是用为蜂窝运营商参与的多个蜂窝订户的子集创建的多个特征向量训练的在对蜂窝运营商通过蜂窝网络提供的蜂窝服务进行评级的调查中,其中每个特征向量是通过提取子集的各个蜂窝用户的多个特征而创建的,每个特征向量都与分配的评级得分相关联由各个蜂窝用户通过将机器学习模型应用于每个其他蜂窝用户的提取特征的特征向量并为每个蜂窝用户输出估计的评分,来预测其他蜂窝用户的蜂窝服务的估计评分。其他蜂窝用户。

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