Personalized Recommender System: A Personal Recommender System Online Social Networking Sites
Hemant KumarKushwaha, J. Jeysree · International Journal of Computer Applications · 2014
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 eadvertisement 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.