Abdullatif M. Al Abdullatif, Raid Alsoghayer, Esra M. AlMajhad
{"title":"找到发推特的最佳时间的算法","authors":"Abdullatif M. Al Abdullatif, Raid Alsoghayer, Esra M. AlMajhad","doi":"10.1109/ICCVIA.2015.7351786","DOIUrl":null,"url":null,"abstract":"The modern technological developments created a quantum leap and a real revolution in the world of communication. Among the most prominent of these communications are the social networks that have made communication easy and fast between individuals. Twitter is one of the social networks that have grown significantly in recent years. Due to the dynamic nature of its timeline, hidden tweets to the followers decreases the activity level with them. Thus, this forms a major challenge for the tweeter. We aim to solve this problem by proposing system that use a novel algorithm dedicated to discover the appropriate times to tweet based on the analysis of the active followers usage behavior. This research will offer a highly valuable solution that helps the tweeters to receive the highest percentage of engagement and the proliferation of tweets among their targeted followers.","PeriodicalId":419122,"journal":{"name":"International Conference on Computer Vision and Image Analysis Applications","volume":"183 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An algorithm to find the best time to tweet\",\"authors\":\"Abdullatif M. Al Abdullatif, Raid Alsoghayer, Esra M. AlMajhad\",\"doi\":\"10.1109/ICCVIA.2015.7351786\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The modern technological developments created a quantum leap and a real revolution in the world of communication. Among the most prominent of these communications are the social networks that have made communication easy and fast between individuals. Twitter is one of the social networks that have grown significantly in recent years. Due to the dynamic nature of its timeline, hidden tweets to the followers decreases the activity level with them. Thus, this forms a major challenge for the tweeter. We aim to solve this problem by proposing system that use a novel algorithm dedicated to discover the appropriate times to tweet based on the analysis of the active followers usage behavior. This research will offer a highly valuable solution that helps the tweeters to receive the highest percentage of engagement and the proliferation of tweets among their targeted followers.\",\"PeriodicalId\":419122,\"journal\":{\"name\":\"International Conference on Computer Vision and Image Analysis Applications\",\"volume\":\"183 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Computer Vision and Image Analysis Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCVIA.2015.7351786\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Computer Vision and Image Analysis Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCVIA.2015.7351786","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The modern technological developments created a quantum leap and a real revolution in the world of communication. Among the most prominent of these communications are the social networks that have made communication easy and fast between individuals. Twitter is one of the social networks that have grown significantly in recent years. Due to the dynamic nature of its timeline, hidden tweets to the followers decreases the activity level with them. Thus, this forms a major challenge for the tweeter. We aim to solve this problem by proposing system that use a novel algorithm dedicated to discover the appropriate times to tweet based on the analysis of the active followers usage behavior. This research will offer a highly valuable solution that helps the tweeters to receive the highest percentage of engagement and the proliferation of tweets among their targeted followers.
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