An interest group model for content location in peer-to-peer systems

Intuitively, the peers who share common interests tend to have a high probability of connecting to each other and sharing the resources. In this paper, we use the probabilistic decision tree to represent user´s interests. Based on the interest probabilistic decision tree, we use an interest group model to organize the peers with common interests into one group. When using our algorithm, a significant amount of flooding can be avoided so as to make the unstructured peer-to-peer network a more competitive solution. The extensive simulation results show the effectiveness of the proposed model in a peer-to-peer system