{"title":"基于知识发现的ICT呼叫中心数据辅助分析系统的研究与开发","authors":"Xiangna Li, Zhongping Xu, Xuedong Li, Tao Zhang, Rongrong Zheng, Xiao Han, Chenhui Wang, Bing Tian","doi":"10.1109/QRS-C51114.2020.00066","DOIUrl":null,"url":null,"abstract":"State Grid ICT call center has a large number of data, such as structured work orders and unstructured voice files, and its rich value needs to be developed. Based on the existing cross-media data of State Grid ICT call center, constructing a large-scale knowledge graph, studies data entity extraction technology and entity relationship extraction model, and traces the hot questions of the system according to its data relevance. Auxiliary analysis system of ICT call center data uses hot events to analyze user needs, shortens the time of ICT system fault detection, improves the efficiency of system fault recovery, improves the level of ICT call center intelligence, and guides the optimization direction of service system. Through the pilot application of typical business scenarios such as e-commerce platform, it can effectively improve the answer coverage and answer accuracy of user questions, and improve customer service satisfaction and intelligent analysis level of business system.","PeriodicalId":358174,"journal":{"name":"2020 IEEE 20th International Conference on Software Quality, Reliability and Security Companion (QRS-C)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research and Development of ICT Call Center Data Auxiliary Analysis System Based on Knowledge Discovery\",\"authors\":\"Xiangna Li, Zhongping Xu, Xuedong Li, Tao Zhang, Rongrong Zheng, Xiao Han, Chenhui Wang, Bing Tian\",\"doi\":\"10.1109/QRS-C51114.2020.00066\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"State Grid ICT call center has a large number of data, such as structured work orders and unstructured voice files, and its rich value needs to be developed. Based on the existing cross-media data of State Grid ICT call center, constructing a large-scale knowledge graph, studies data entity extraction technology and entity relationship extraction model, and traces the hot questions of the system according to its data relevance. Auxiliary analysis system of ICT call center data uses hot events to analyze user needs, shortens the time of ICT system fault detection, improves the efficiency of system fault recovery, improves the level of ICT call center intelligence, and guides the optimization direction of service system. Through the pilot application of typical business scenarios such as e-commerce platform, it can effectively improve the answer coverage and answer accuracy of user questions, and improve customer service satisfaction and intelligent analysis level of business system.\",\"PeriodicalId\":358174,\"journal\":{\"name\":\"2020 IEEE 20th International Conference on Software Quality, Reliability and Security Companion (QRS-C)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 20th International Conference on Software Quality, Reliability and Security Companion (QRS-C)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/QRS-C51114.2020.00066\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 20th International Conference on Software Quality, Reliability and Security Companion (QRS-C)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/QRS-C51114.2020.00066","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research and Development of ICT Call Center Data Auxiliary Analysis System Based on Knowledge Discovery
State Grid ICT call center has a large number of data, such as structured work orders and unstructured voice files, and its rich value needs to be developed. Based on the existing cross-media data of State Grid ICT call center, constructing a large-scale knowledge graph, studies data entity extraction technology and entity relationship extraction model, and traces the hot questions of the system according to its data relevance. Auxiliary analysis system of ICT call center data uses hot events to analyze user needs, shortens the time of ICT system fault detection, improves the efficiency of system fault recovery, improves the level of ICT call center intelligence, and guides the optimization direction of service system. Through the pilot application of typical business scenarios such as e-commerce platform, it can effectively improve the answer coverage and answer accuracy of user questions, and improve customer service satisfaction and intelligent analysis level of business system.