{"title":"特邀演讲:主动句具体流行度预测","authors":"Sayar Ghosh Roy","doi":"10.1145/3544795.3544849","DOIUrl":null,"url":null,"abstract":"In this draft, we introduce the reader to the problem of popularity prediction. We highlight the existing directions of work in the area, and lay out the foundation for the task of proactively forecasting relative information popularity of individual sentences within online news documents. We discuss the key challenges and potential business applications for this novel task and note down the main contributions of our work presented at HT ’22 [7]. Lastly, we discuss some interesting avenues of future work.","PeriodicalId":103807,"journal":{"name":"Proceedings of the 7th International Workshop on Social Media World Sensors","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Invited Talk: On Proactive Sentence Specific Popularity Forecasting\",\"authors\":\"Sayar Ghosh Roy\",\"doi\":\"10.1145/3544795.3544849\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this draft, we introduce the reader to the problem of popularity prediction. We highlight the existing directions of work in the area, and lay out the foundation for the task of proactively forecasting relative information popularity of individual sentences within online news documents. We discuss the key challenges and potential business applications for this novel task and note down the main contributions of our work presented at HT ’22 [7]. Lastly, we discuss some interesting avenues of future work.\",\"PeriodicalId\":103807,\"journal\":{\"name\":\"Proceedings of the 7th International Workshop on Social Media World Sensors\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 7th International Workshop on Social Media World Sensors\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3544795.3544849\",\"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 7th International Workshop on Social Media World Sensors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3544795.3544849","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Invited Talk: On Proactive Sentence Specific Popularity Forecasting
In this draft, we introduce the reader to the problem of popularity prediction. We highlight the existing directions of work in the area, and lay out the foundation for the task of proactively forecasting relative information popularity of individual sentences within online news documents. We discuss the key challenges and potential business applications for this novel task and note down the main contributions of our work presented at HT ’22 [7]. Lastly, we discuss some interesting avenues of future work.