Search Approach Based on Query Expansion and Node Aggregation

This paper proposes an approach based on query expansion and node aggregation under the unstructured peer-to-peer network. This approach can find the relationships of keywords and nodes automatically, then record the information on each local node and update it continuously. In the future retrieval, the purpose of keywords relationship is to increase hit goals, the purpose of similar nodes aggregation is to decrease the search scope. Simulation results prove that this approach has high search hit rate and accuracy.