{"title":"EmailTracker:利用人工智能和大数据协助电子邮件事件跟踪的智能分析系统","authors":"Joyce Zheng, Yu Sun","doi":"10.5121/csit.2022.121222","DOIUrl":null,"url":null,"abstract":"Recent studies have shown an increasing demand for software that assists in social media applications, such as Gmail [1] [2]. This paper develops a software that utilizes a pixel image in order to assist Gmail users with the status of their email [3]. This intelligent analytical system can be used to tell whether an email has been opened or not. After conducting a qualitative evaluation of this approach, the results provided evidence of the system’s usability and the reliability of the system to give accurate results and data.","PeriodicalId":174755,"journal":{"name":"Artificial Intelligence and Machine Learning","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"EmailTracker: An Intelligent Analytical System to Assist Email Event Tracking using Artificial Intelligence and Big Data\",\"authors\":\"Joyce Zheng, Yu Sun\",\"doi\":\"10.5121/csit.2022.121222\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recent studies have shown an increasing demand for software that assists in social media applications, such as Gmail [1] [2]. This paper develops a software that utilizes a pixel image in order to assist Gmail users with the status of their email [3]. This intelligent analytical system can be used to tell whether an email has been opened or not. After conducting a qualitative evaluation of this approach, the results provided evidence of the system’s usability and the reliability of the system to give accurate results and data.\",\"PeriodicalId\":174755,\"journal\":{\"name\":\"Artificial Intelligence and Machine Learning\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Artificial Intelligence and Machine Learning\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5121/csit.2022.121222\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Artificial Intelligence and Machine Learning","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5121/csit.2022.121222","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
EmailTracker: An Intelligent Analytical System to Assist Email Event Tracking using Artificial Intelligence and Big Data
Recent studies have shown an increasing demand for software that assists in social media applications, such as Gmail [1] [2]. This paper develops a software that utilizes a pixel image in order to assist Gmail users with the status of their email [3]. This intelligent analytical system can be used to tell whether an email has been opened or not. After conducting a qualitative evaluation of this approach, the results provided evidence of the system’s usability and the reliability of the system to give accurate results and data.