一种基于文档副本局部性的分布式检索算法研究

摘 要: 分布式信息检索是信息检索领域的重要研究内容。为了提高分布式信息检索的性能，提出了一种基于文档副本局部性的分布式检索方法。对于任一站点，如果将查询结果中的非本地文档建立本地副本，那么可以减少查询处理中站点之间的查询转发，从而相应的提高信息检索的性能。基于该思想，将分布式信息检索中的副本放置转化为查询的局部性问题，建立了相应的优化模型，并针对不同的副本放置模型提出了相应的副本选择及放置策略。最后通过模拟实验验证表明，本文提出的方法与相关方法相比较既提高了查询结果的准确性，又减小了查询的响应时间。

Document Replication Locality Based Distributed Query Method

Abstract: Distributed information retrieval is an important research issue in information retrieval field. In order to improve the performance of distributed information retrieval, a document replication locality based distributed information retrieval method is proposed. For ant site, if the remote documents, which are in the result set, are replicated in local site, then the query forwards between sites can be reduced, and thus improve the performance of information retrieval. Based on this idea, we transformed the replication placement of distributed information retrieval into the locality of query, built corresponding optimization model, and proposed corresponding replication placement strategies for different replication placement models. The simulation experiments show that, the proposed method is more accurate, and has less response time compared with related work.