| 基于用户行为P2P网络全文搜索机制 |
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| 引用本文： | 高连峰.基于用户行为P2P网络全文搜索机制[J].情报科学,2008,26(8). |
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| 作者姓名： | 高连峰 |
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| 作者单位： | 解放军理工大学指挥自动化学院,江苏,南京210007 |
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| 摘 要： | 在对P2P用户行为进行分析的基础上，提出了一种自动机制，能够区分出用户对不同主题领域的关注度，计算出邻居节点查询各关注主题领域相关文档的能力，通过选择对特定领域查询能力最强的k个邻居节点转发查询消息提高效率，该机制能够区分出用户的典型行为和即兴行为，通过采用不同策略进一步提高即兴查询的效率。
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| 关 键 词： | 全文检索 用户行为 兴趣主题 动态聚类 |
Full-Text Retrieval Machine in P2P Networks Based on User Behavior |
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| GAO Lian-feng.Full-Text Retrieval Machine in P2P Networks Based on User Behavior[J].Information Science,2008,26(8). |
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| Authors: | GAO Lian-feng |
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| Institution: | GAO Lian-feng(Institute of Comm, Automation,PLA University of Science , Technology,Nanjing 210007,China) |
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| Abstract: | Efficient select-neighbor-peer strategy is necessary to improve efficiency of full-text retrieval in P2P networks.A dynamic cluster algorithm is proposed by analyzing query history.Our approach can explicitly distinguish different topic of interest,especially persistent interests and transient queries,and allows different search strategies to be applied to different kinds of queries. |
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| Keywords: | full-text retrieval user behavior interest topic dynamic clustering |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
