Web Personalization Method Based on Relevance Feedback on Keyword Space
Web Personalization Method Based on Relevance Feedback on Keyword Space
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DOI：
10.1109/ssme.2009.22
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发表时间：
2009-07
期刊：
影响因子：
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通讯作者：
Xiao-Gang Wang;Yue Li
中科院分区：
文献类型：
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作者：
Xiao-Gang Wang;Yue Li
相关反馈技术是文献检索领域的一项研究，旨在生成符合用户信息需求的查询，传统的相关反馈技术是在文档空间上进行的，而生成的查询需要在关键字空间上进行表示。在本文中，它提出了执行关键字空间的相关反馈。相关反馈应该与交互式关键词地图系统一起工作，该系统将从检索结果中提取的关键词之间的关系可视化。作为基于交互式关键词地图实现相关反馈的第一步，本文还提出了从关键词地图中提取反映用户兴趣的关键词对的算法。实验结果表明，该算法是如何工作的关键字地图是由用户修改。
The relevance feedback techniques have been studied in the field of document retrieval, aiming to generate appropriate queries for users’ information needs.Conventional relevance feedback techniques are performed on document space, while the resultant queries should be represented in keyword space. In this paper, it is proposed to perform relevance feedback on keyword space. The relevance feedback is supposed to work with interactive keyword map system, which visualizes the relationship between keywords extracted from retrieved results. As the first step for realizing relevance feedback based on interactive keyword map, this paper also proposes the algorithm for extracting the pair of keywords that reflects a user’s interest from the keyword map. Experimental results are given for showing how the algorithm works on the keyword map that is modified by the user.