首页> 外文会议>International Conference on Database and Expert Systems Applications(DEXA 2007); 20070903-07; Regensburg(DE) >An Evaluation of a Cluster-Based Architecture for Peer-to-Peer Information Retrieval
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An Evaluation of a Cluster-Based Architecture for Peer-to-Peer Information Retrieval

机译:对等信息检索基于集群的体系结构的评估

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In this paper we provide a full-scale evaluation of a cluster-based architecture for P2P IR, focusing on retrieval effectiveness. We observe that there is a significant difference in performance between the architecture we examine and a centralised index. After inspecting our experimental methodology and our results, we provide evidence that suggests that this discrepancy is due to the information clustering algorithms employed throughout. The construction errors of the resource descriptions as well as the failure of the clustering mechanisms to discover the structure of the smallest of peer-collections lead to erroneous query routing. We proceed further to show experimentally how content replication and relevance-feedback mechanisms can help to alleviate the problem.
机译:在本文中,我们提供了针对P2P IR的基于集群的体系结构的全面评估,重点是检索效率。我们观察到,我们检查的体系结构和集中式索引之间在性能上存在显着差异。在检查了我们的实验方法和结果之后,我们提供了证据表明这种差异是由于整个过程中采用的信息聚类算法所致。资源描述的构造错误以及聚类机制无法发现最小的对等集合的结构会导致错误的查询路由。我们将进一步实验性地展示内容复制和相关性反馈机制如何帮助缓解问题。

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