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Received:August 11, 2009 Revised:September 16, 2009
Received:August 11, 2009 Revised:September 16, 2009
中文摘要: 提出一种基于用户行为聚类的搜索引擎算法。该算法从用户行为日志中挖掘用户意图，并根据用户的反馈信息定位用户意图信息，提升了查询的准确率，有效地解决了传统的全文检索式搜索引擎查询具有二义性词时的不足，并通过实践验证了算法的可行性。
Abstract:This paper proposes an algorithm and an instance of the search engine based on clustering users' activities. The algorithm mines users' concepts from activities log and uses users' feedback to identify the concepts. Both of them improve the accuracy of the engine. It resolves the ambiguity problem of full-text retrieval search engine. At last, the paper gives a case to implement the algorithm.
keywords: user activity clustering search engine concept ambiguity
文章编号： 中图分类号： 文献标志码：
基金项目:
| Author Name | Affiliation |
| CAI Yue | 北京林业大学 信息学院 北京 100083 |
| YUAN Jin-Sheng |
| Author Name | Affiliation |
| CAI Yue | 北京林业大学 信息学院 北京 100083 |
| YUAN Jin-Sheng |
引用文本：
蔡岳,袁津生.用户行为聚类的搜索引擎算法与实现.计算机系统应用,2010,19(4):94-97
CAI Yue,YUAN Jin-Sheng.User Activities Clustering of Search Engine.COMPUTER SYSTEMS APPLICATIONS,2010,19(4):94-97
蔡岳,袁津生.用户行为聚类的搜索引擎算法与实现.计算机系统应用,2010,19(4):94-97
CAI Yue,YUAN Jin-Sheng.User Activities Clustering of Search Engine.COMPUTER SYSTEMS APPLICATIONS,2010,19(4):94-97
