{"title":"预测未来观众的热门话题,优化电视内容营销的成功","authors":"L. Nixon","doi":"10.1145/3422839.3423062","DOIUrl":null,"url":null,"abstract":"TV broadcasters and other organizations with online media collections which wish to extend the reach of and engagement with their media assets conduct digital marketing activities. The marketing success depends on the relevance of the topics of the media content to the audience, which is made even more difficult when planning future marketing activities as one needs to know the topics that the future audience will be interested in. This paper presents the innovative application of AI based predictive analytics to identify the topics that will be more popular among future audiences and its use in a digital content marketing strategy of media organisations.","PeriodicalId":270338,"journal":{"name":"Proceedings of the 2nd International Workshop on AI for Smart TV Content Production, Access and Delivery","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Predicting Your Future Audience's Popular Topics to Optimize TV Content Marketing Success\",\"authors\":\"L. Nixon\",\"doi\":\"10.1145/3422839.3423062\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"TV broadcasters and other organizations with online media collections which wish to extend the reach of and engagement with their media assets conduct digital marketing activities. The marketing success depends on the relevance of the topics of the media content to the audience, which is made even more difficult when planning future marketing activities as one needs to know the topics that the future audience will be interested in. This paper presents the innovative application of AI based predictive analytics to identify the topics that will be more popular among future audiences and its use in a digital content marketing strategy of media organisations.\",\"PeriodicalId\":270338,\"journal\":{\"name\":\"Proceedings of the 2nd International Workshop on AI for Smart TV Content Production, Access and Delivery\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2nd International Workshop on AI for Smart TV Content Production, Access and Delivery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3422839.3423062\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd International Workshop on AI for Smart TV Content Production, Access and Delivery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3422839.3423062","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Predicting Your Future Audience's Popular Topics to Optimize TV Content Marketing Success
TV broadcasters and other organizations with online media collections which wish to extend the reach of and engagement with their media assets conduct digital marketing activities. The marketing success depends on the relevance of the topics of the media content to the audience, which is made even more difficult when planning future marketing activities as one needs to know the topics that the future audience will be interested in. This paper presents the innovative application of AI based predictive analytics to identify the topics that will be more popular among future audiences and its use in a digital content marketing strategy of media organisations.