預測冷啟動的新影片熱門度

淡江大學機構典藏 > 文學院 > 資訊與圖書館學系暨研究所 > 專書 > Item 987654321/120439

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/120439

题名:	預測冷啟動的新影片熱門度
其它题名:	Predicting the popularity of new video for cold start problem
作者:	張嘉玲
关键词:	data mining;popularity prediction;cold start;YouTube
日期:	2018-06
上传时间:	2021-03-25 12:11:30 (UTC+8)
摘要:	Predicting video popularity is an important task involved in managing video-sharing sites. Although many previous studies have investigated this problem, a weakness common to these studies is that their predictions rely on video access data from the past. In other words, they cannot predict the popularity of newly uploaded videos. To handle this cold start problem, this study focused on building prediction models that use only the data available at the time when a video is initially uploaded. Through supervised learning methods, this study employed prediction models to predict the popularity of videos. To further improve the overall accuracy of the prediction, we used an ensemble model to integrate these classification results to obtain the most accurate prediction. The empirical evaluation indicated that the models are effective for predicting the popularity of a video and that our model can solve the cold start problem of video popularity prediction.
显示于类别:	[資訊與圖書館學系暨研究所] 專書

文件中的档案:

档案	大小	格式	浏览次数
index.html	0Kb	HTML	136	检视/开启

在機構典藏中所有的数据项都受到原著作权保护.

TAIR相关文章