{"title":"营销中的零编码UMAP:一个可扩展的平台,通过点击屏幕来分析和预测客户行为","authors":"Takuya Kitazawa","doi":"10.1145/3314183.3324970","DOIUrl":null,"url":null,"abstract":"Customer Data Platform (CDP) is an integrated customer database operated by marketers. In the context of UMAP, this paper demonstrates a real-world CDP with a special focus on (1) simple and deterministic text-based behavioral profiling technique, and (2) GUI-based versatile tool for predictive analytics. Those functionalities are designed for those who have no expertise in machine learning and natural language processing, so the only thing marketers have to do is clicking some buttons on UI. Meanwhile, their back-end system ensures scalability and utility of the entire workflow from data collection and management to prediction and visualization.","PeriodicalId":240482,"journal":{"name":"Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Zero-Coding UMAP in Marketing: A Scalable Platform for Profiling and Predicting Customer Behavior by Just Clicking on the Screen\",\"authors\":\"Takuya Kitazawa\",\"doi\":\"10.1145/3314183.3324970\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Customer Data Platform (CDP) is an integrated customer database operated by marketers. In the context of UMAP, this paper demonstrates a real-world CDP with a special focus on (1) simple and deterministic text-based behavioral profiling technique, and (2) GUI-based versatile tool for predictive analytics. Those functionalities are designed for those who have no expertise in machine learning and natural language processing, so the only thing marketers have to do is clicking some buttons on UI. Meanwhile, their back-end system ensures scalability and utility of the entire workflow from data collection and management to prediction and visualization.\",\"PeriodicalId\":240482,\"journal\":{\"name\":\"Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3314183.3324970\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3314183.3324970","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
客户数据平台(Customer Data Platform, CDP)是营销人员运营的综合性客户数据库。在UMAP的背景下,本文展示了一个真实的CDP,特别关注(1)简单和确定性的基于文本的行为分析技术,以及(2)基于gui的多功能预测分析工具。这些功能是为那些没有机器学习和自然语言处理专业知识的人设计的,所以营销人员唯一要做的就是点击UI上的一些按钮。同时,他们的后端系统确保了从数据收集和管理到预测和可视化的整个工作流程的可扩展性和实用性。
Zero-Coding UMAP in Marketing: A Scalable Platform for Profiling and Predicting Customer Behavior by Just Clicking on the Screen
Customer Data Platform (CDP) is an integrated customer database operated by marketers. In the context of UMAP, this paper demonstrates a real-world CDP with a special focus on (1) simple and deterministic text-based behavioral profiling technique, and (2) GUI-based versatile tool for predictive analytics. Those functionalities are designed for those who have no expertise in machine learning and natural language processing, so the only thing marketers have to do is clicking some buttons on UI. Meanwhile, their back-end system ensures scalability and utility of the entire workflow from data collection and management to prediction and visualization.