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Recommender systems benefit us in tackling the problem of information overload by predicting our potential choices among diverse niche objects. So far, a variety of personalized recommendation algorithms have been proposed and most of them are based on similarities, such as collaborative filtering and mass diffusion. Here, we propose a novel vertex similarity index named CosRA, which combines advantages...
Recommender systems benefit us in tackling the problem of information overload and finding potential objects that we are interested in among diverse objects. A variety of recommendation algorithms have been proposed. Most of them only focus on the relationship between users and objects, but neglect the influence of social relationships. In this paper, by considering users' social trust relationships,...
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