期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：4
DOI：10.15680/ijircce.2015.0304043
出版社：S&S Publications
摘要：There are various ways and methods used in video recommendation which are purely statistical. Thesewould give recommendations to users based on either their previous search or other criteria. These systems set up alarge number of context collectors at the terminals. However, the context collecting and exchanging result in heavynetwork overhead, and the context processing consumes huge computation. Due to these criterion users end up gettingunnecessary content which makes the browser slow. In this paper we propose a user specific category based promotion,we propose and provide for characterization of individual content as well as social attributes that help distinguish eachuser class. Thus a user defined video recommendation would ensure faster access to only important information whichis in the user's domain of interest which utilises low buffer space and increase the speed of the system for usersatisfaction.
关键词：Spammer ;User created content; Video-Tag ; private storage; recommender
