Improving Context Aware Recommendation Performance by Using Social Networks

摘要: Ecommerce systems employ recommender to enhance the customer loyalty and hence increasing cross-selling of products. In collaborative filtering-as most popular method in systems-an implicit network is formed among all people. any network, there are some individuals who have inspirational power over others leading them influence their decisions behaviours. But it seems that these methods do not support context awareness mobile commerce environments. Furthermore, they lack high accuracy also require volume computations due distinguish between neighbours as a friend or stranger. This paper proposes new model for which based on data. uses data extract current users' identify with highest influence. Then, system information identified impressive users existed social networks making recommendations. Beside achieving higher accuracy, proposed has resolved cold start problem filtering systems.