期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2015
卷号：4
期号：3
页码：1712
DOI：10.15680/IJIRSET.2015.0403099
出版社：S&S Publications
摘要：Online video sharing systems, out of that YouTube is that the most well-liked, offer options that permitusers to post a video as a response to a discussion topic. These options open opportunities for users to introduce impurecontent, or just pollution, into the system. Therefore we discover for example, spammers could post associate unrelatedvideo as response to a well-liked one, aiming at increasing the chance of the response being viewed by a bigger rangeof users. We have a tendency to propose the users Video Recommendation (UVR) system in cloud computingatmosphere. Video attributes capture specific properties of the videos uploaded by the supplier We employing a novelrule to as ALAC (active lazy associative classifier).Content pollution could jeopardize the trust of users on the systemwe offer a characterization of content, individual, and social attributes that facilitate distinguish every user category.Classification approach succeeds at separating spammers and promoters video search systems is fooled by maliciousattacks that depends on a good selective sampling strategy to traumatize the foremost favorite Videos. This workprovides a high flexibility, high reliability, low-level transparency, security features. Proposed tag cloudrecommendation approaches.
