چکیده مقاله
Nowadays, social networks are widely used by everyone So, it is necessary to do appropriate and situation aware activities in these networks to gain benefits In this research, a context aware recommender system has modeled for using in social networks This system makes its recommendations for user based on behavior andactivities of her friends in the same situation in social network In other word, this modeled recommender system uses collaborative filtering algorithm All the connections of user in social network, containing direct and indirect, are considered for recommending byrecommender system; but, based on connection type and its distance to user, proportional factor is assigned For example, the factor of friends of user is 1, and the factor of friends of friends is ½ At last, by implementing this model on an appropriate data set using data mining andneural networks techniques and then, calculating its precision, the usefulness of its recommendations are evaluated
کلیدواژهها
نویسندگان
Moeeneh Ghorbani
Payam Noor University, Rey Center
MohammadReza HeydaryNejad
Moeeneh Ghorbani Payam Noor University, Rey CenterGolshan Assadat Afzali AmirKabir University of Technology
Golshan Assadat Afzali
AmirKabir University of Technology
شیوه ارجاع
Ghorbani, Moeeneh and HeydaryNejad, MohammadReza and Afzali, Golshan Assadat,1392,Design Context Aware Activity Recommender System in Social Networks Using Clustering Technique,7th International Conference on e- Commerce whit focus on e-Security,Kish Island
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