基于P2P的个性化Web信息检索

发布时间：2018-07-05 03:02

本文选题：Web信息检索 + 对等网络　；参考：《计算机应用》2010年01期

【摘要】：为了克服Web搜索引擎在可扩展性、协作性和个性化等方面存在的不足,提出了一种基于Peer-to-Peer的全分布、协作式、自组织的个性化Web信息检索,定义了以查询主题为中心进行主题聚类、数据组织和查询路由的用户协作共享策略,设计了协作生成用户兴趣列表向量、对相似语义查询进行主题聚类和更新、基于查询集建立倒排索引以及基于查询主题进行语义路由等算法和机制,以提供人性化、协作式、个性化的搜索。模拟实验表明,原型系统可以加快查询速度,减轻网络负荷,提高搜索的准确率。
[Abstract]:In order to overcome the shortcomings of Web search engine in expansibility, collaboration and personalization, a kind of personalized Web information retrieval based on Peer-to-Peer is proposed. In this paper, the user cooperative sharing strategy for topic clustering, data organization and query routing is defined, and the user interest list vector is designed to cluster and update similar semantic queries. Algorithms and mechanisms such as inverted index based on query set and semantic routing based on query topic are used to provide humanized cooperative and personalized search. Simulation experiments show that the prototype system can speed up the query speed, reduce the network load, and improve the accuracy of search.
【作者单位】：大连东软信息学院网络中心;清华大学计算机科学与技术系;
【基金】：国家自然科学基金资助项目(60773149) 国家973计划项目(2007CB310900) 国家863计划项目(2008AA01Z108)
【分类号】：TP391.3

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