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Personalized Recommender System: A Personal Recommender System Online Social Networking Sites
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 93 - Number 9 |
| Year of Publication: 2014 |
| Authors: Hemant Kumar Kushwaha, J. Jeysree |
10.5120/16240-5788
|
Hemant Kumar Kushwaha, J. Jeysree . Personalized Recommender System: A Personal Recommender System Online Social Networking Sites. International Journal of Computer Applications. 93, 9 ( May 2014), 1-6. DOI=10.5120/16240-5788
Abstract
Recommender system for online marketing site plays a key role for the e-marketing or purchase made online by consumers. As there are many recommendations for a particular keyword, determining which recommendations have higher impact for a particular user is difficult. So it is useful to make a personal recommender based on the user preferences may helpful in solving such a problems and can deliver a good search result. Based on user actions (preferences, like) within a close group like any networking site a best personalized recommender can be designed. As the growing popularity of www every things going to b dependent on the virtual world, e-commerce and e-advertisement are the very important aspect of them, the growing popularity of www also leaded to virtualized one's friend. So this work is defining a approach in which the personal relationships between friends is calculated after that this calculation can be used to determine the good recommender for a particular user based on his/her friends reviews and the his/her preferences.
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- Hemant Kumar Kushwaha M. Tech. Scholar, Ms. J. Jeysree Assistnat Professor Department of Information Technology, Faculty of Engineering and Technology, SRM University, Kattankulathur-603203, India "Trust_System How to know which fact is revelent and useful within a social networking site. " 2014 IJEDR Volume 2, Issue 1 ISSN: 2321-9939
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