P2P社区的信息检索算法设计

Algorithm design of information retrieval based on P2P community

为解决P2P社区的资源定位及信息检索问题,采用混合型P2P网络模型,将社区内的检索划分为本地检索、组内搜索和组间搜索。对于本地检索设计了新的词条权重的计算方法,解决了同构文档集内的文本检索问题。对于组内搜索和组间搜索,通过设计节点选择策略,使一部分与查询相关度高的节点执行查询任务。最后提出结果融合的方法并对特定的实验数据进行测试,实验表明设计的算法在较小的查询开销下,能取得较好的检索效果。

In order to effectively locate resourse and search information in P2P community,a hybrid P2P topology is adopted and the document searching in P2P community is divided into three processes：local retrieval,intra-search and inter-search.In local retrieval,the new term weight calculation method is designed to solve the problem about txt search in homogeneous collection.In intra-search and inter-search,a part of peers which are more relevant to the query to conduct the retrieval task is selected.Experimental results show that this method can get better retrieval results with lower cost.