Analysis and detection of fake views in online video services
Refereed conference paper presented and published in conference proceedings

替代計量分析
.

其它資訊
摘要Online video-on-demand(VoD) services invariably maintain a view count for each video they serve, and it has become an important currency for various stakeholders, from viewers, to content owners, advertizers, and the online service providers themselves. There is often significant financial incentive to use a robot (or a botnet) to artificially create fake views. How can we detect fake views? Can we detect them (and stop them) efficiently? What is the extent of fake views with current VoD service providers? These are the questions we study in this article. We develop some algorithms and show that they are quite effective for this problem.
著者Chen L., Zhou Y., Chiu D.M.
出版年份2015
月份1
日期1
卷號11
期次2
出版社Association for Computing Machinary, Inc.
出版地United States
國際標準期刊號1551-6865
語言英式英語
關鍵詞Fake view, Online video service

上次更新時間 2020-27-10 於 02:54