标题:
非结构化对等网络中信息检索策略研究Information Retrieval Strategy on Unstructured Peer-to-Peer Network
作者:
刘溪
关键字:
对等网络, 信息检索, 语义聚类 Peer-to-Peer Network; Information Recommendation; Semantic Cluster
期刊名称:
《Hans Journal of Data Mining》, Vol.1 No.2, 2011-10-28
摘要:
非结构化对等网络(P2P)是共享系统的主要实现方式，但是由于搜索的盲目性，其检索效率又普遍低下。本文将聚类域和语义分组引入到非结构化对等网络搜索技术中，结合非结构化对等网络中的洪泛搜索机制，提出了基于语义聚类的资源搜索策略。仿真实验的结果表明，该系统所采用的信息检索策略能够有效地提高信息检索的查询成功率，降低网络负载，取得了良好的效果。
Unstructured peer-to-peer network (P2P) is the main way to implement shared system, but retrieval efficiency is generally low due to search of blindness. In this paper, a new approach to information retrieval based on unstructured P2P systems is presented, by using clustering domain and grouped P2P network based on semantic. The results show that the searching mechanism has good performances on the search success rate and load balancing.