期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2013
卷号：4
期号：2
页码：129-132
语种：English
出版社：Ayushmaan Technologies
摘要：In this paper we present a novel multimedia (text, images, audiovideo) recommendation for users based on user’s flavor. Typical quantity-driven keyword query search approaches return popular words in the results as expanded queries. This leads to a subset of possible query search misleading to an ambiguous search. The central idea of this paper is to recommend an effective multimedia content to the user, based on user ratings, flavor and hit ratio. This paper aims at establishing a relation between user’s first click to recommendations using Effective Multimedia Recommendation algorithm (EMR). Every image, videoandaudio is given a unique identification number which helps in categorization and recommendation. The proposed algorithm can be utilized in many recommendation tasks on the World Wide Web. The experimental analysis on large data sets shows the promising future of our work.
