| 用户行为聚类的搜索引擎算法与实现 |
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| 引用本文： | 蔡岳,袁津生.用户行为聚类的搜索引擎算法与实现[J].计算机系统应用,2010,19(4):94-97. |
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| 作者姓名： | 蔡岳 袁津生 |
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| 作者单位： | 北京林业大学信息学院,北京,100083 |
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| 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。
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| 关 键 词： | 用户行为 用户意图 聚类 搜索引擎 二义性 |
| 收稿时间： | 2009/8/11 0:00:00 |
| 修稿时间： | 2009/9/16 0:00:00 |
User Activities Clustering of Search Engine |
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| CAI Yue and YUAN Jin-Sheng.User Activities Clustering of Search Engine[J].Computer Systems& Applications,2010,19(4):94-97. |
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| Authors: | CAI Yue and YUAN Jin-Sheng |
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| Affiliation: | CAI Yue,YUAN Jin-Sheng (Department of Information,Beijing Forestry University,Beijing 100083,China) |
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| 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. |
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| Keywords: | user activity clustering search engine concept ambiguity |
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