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电力大数据:2019,22(4):-
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一种基于KNN算法的客户身份识别方法
(国家电网公司客户服务中心)
A customer identification method based on KNN algorithm
(Service Evaluation Department of Customer Service Center)
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投稿时间:2018-07-06    修订日期:2018-11-21
中文摘要: 基于95598业务,利用大数据分析及文本挖掘方法,构建统一身份识别模型,有效识别客户来电号码与户号的对应关系。采用分词技术,有效解析用电地址信息、客户姓名等内容,并计算地址相似度得分、姓名相似度得分,作为对应关系校验以及识别疑似户号的关键因子指标;针对能获取到的对应关系,构建权重划分模型,计算对应关系匹配度得分,根据分值大小,校验对应关系的可靠性;针对找不到户号对应关系的来电号码,基于文本相似度得分构建knn模型,计算对应关系匹配度得分,依据分值大小,识别疑似户号。
Abstract:Based on the 95598 business, a unified identity recognition model is constructed by using big data analysis and text mining to effectively identify the corresponding relationship between customer phone number and account number. Using participle technique, efficient parsing address information, customer name, address and calculate the similarity score, name similarity scores, check the corresponding relationships and identify the key factor of the suspected door number indicator. According to the obtained correspondence, the weight division model is built, the matching score of corresponding relation is calculated, and the reliability of corresponding relation is verified according to the score value. KNN model was built based on the similarity score of text to calculate the matching score of corresponding relation, and identify the suspected account number according to the score value.
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