SMBSRP: a search mechanism based on interest similarity, query relevance and distance prediction
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
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In this paper, we propose a query-feedback based routing approach for efficient routing in unstructured peer-to-peer network. In our approach, each node maintains a table that stores information about past queries that have been forward and answered. Each past query represents a number of peers. Each incoming query will be compared with the past queries in the table and similar and reliable peers will be selected to be routed to have an efficient routing approach. Experimental results show that our proposed approach outperforms other feedback based query routing technique in unstructured peer-to-peer networks.