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Merging Retrieval Results in Peer-to-Peer Networks

机译:在对等网络中合并检索结果

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摘要

P2P-based information retrieval is still at its infant stage and confronted with many challenges. And how to rank and merge the results retrieved from different peers is one of the most urgent problems, hi this paper, we propose a result merging algorithm to address the challenge. Our algorithm has the advantage of being simple, since as input it only uses result lengths and document ranks. First, we rank the results from each neighboring leaf node based on result lengths returned by them. Then we merge results retrieved from directory nodes. Our experiments demonstrate that the new approach is effective.
机译:基于P2P的信息检索仍处于起步阶段,面临许多挑战。而如何对从不同对等方检索到的结果进行排名和合并是最紧迫的问题之一。在本文中,我们提出了一种结果合并算法来应对这一挑战。我们的算法具有简单的优势,因为它仅使用结果长度和文档等级作为输入。首先,我们根据每个相邻叶节点返回的结果长度对它们进行排序。然后,我们合并从目录节点检索到的结果。我们的实验表明新方法是有效的。

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