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：3
页码：413-417
语种：English
出版社：Ayushmaan Technologies
摘要：In recent years, people increasingly perceive the web as a social medium that fosters interaction among people, sharing of experiences and knowledge, group activities, community formation and evolution. Many popular online networks such as Twitter, Facebook, LinkedIn and many more have become increasingly popular. Such social networks typically contain a tremendous amount of content and linkage data which can be leveraged for analysis. Now-a-days marketers and business groups are tremendously using social networking sites for their business purpose. In this paper we propose recommendation for users based on generated graphs which are formed by analyzing the things that user like, share among friends, products they purchase, ratings and reviews they leave online, items they search for online and more. With the analysis of social networks marketers can gain more audiences with particular interests. The proposed algorithm is capable of gathering and analyzing the user’s interest. The generated graphs will help both customers and marketers to fulfill their needs.
