{"title":"User Modeling in Telecommunications and Internet Industry","authors":"Qiang Yang","doi":"10.1145/2783258.2790459","DOIUrl":null,"url":null,"abstract":"It is extremely important in many application domains to have accurate models of user behavior. Data mining allows user models to be constructed based on vast available data automatically. User modeling has found applications in mobile APP recommendations, social networking, financial product marketing and customer service in telecommunications. Successful user modeling should be aware of several critical issues: who are the target users' How should the solutions be updated when new data come in? How should user feedback be handled? What are the \"pain\" points of users' In this talk, I will discuss my own experience on user modeling with big data. I will draw examples from telecommunications and the Internet industry, contrasting and highlighting some lessons learned in these industries.","PeriodicalId":243428,"journal":{"name":"Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2783258.2790459","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
It is extremely important in many application domains to have accurate models of user behavior. Data mining allows user models to be constructed based on vast available data automatically. User modeling has found applications in mobile APP recommendations, social networking, financial product marketing and customer service in telecommunications. Successful user modeling should be aware of several critical issues: who are the target users' How should the solutions be updated when new data come in? How should user feedback be handled? What are the "pain" points of users' In this talk, I will discuss my own experience on user modeling with big data. I will draw examples from telecommunications and the Internet industry, contrasting and highlighting some lessons learned in these industries.