Query Workload Driven Summarization for P2P Query Routing

Query routing in peer-to-peer systems is based onthe peers\´ content summaries. For the sake of scalability, summaries are built at a "peer level." The coarseness of peer level summaries limits their ability to route queries accurately to peers sharing relevant contents. We propose to improve the quality of each peer\´s summary by grouping its contents and summarizing each group individually. To enhance grouping effectiveness, we incorporate information about real-world term distributions into group generation. Experimental results show that our techniques significantly improve query routing accuracy with little cost.