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基于Apriori算法的关键词推荐在面向主题的用户个性化搜索中的应用 被引量：5

Application of Key Words Recommendation Based on Apriori Algorithm in Theme-Oriented Personalized Search
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摘要 对传统协作过滤方法在关键词推荐系统中的应用进行分析.在 Apriori 算法的基础上,提出一种面向主题的用户个性化搜索的关键词推荐算法.该算法基于 Apriori 算法,对用户的搜索历史关键词集合进行频繁集挖掘.实验证明。该算法可以根据用户输入的历史关键词推荐给用户满足其当前搜索兴趣倾向的新的关键词,使用户的查询更加精确化和个性化. The application of collaborative filtering algorithm in key words recommendation is analysed and a theme-oriented key words recommendation algorithm in personalized search is proposed based on Apriori algorithm in this paper. The essential of proposed method is mining the frequent itemsets of the historical key words by Apriori algorithm. Experimental result indicates that the algorithm can recommend new key words to user based on the historical key words and make the search results more accurate and individual.
作者 刘琦 卜佳俊 陈纯
机构地区 浙江大学沃森基因组科学研究院 浙江大学计算机科学与技术学院
出处 《模式识别与人工智能》 EI CSCD 北大核心 2006年第2期186-190,共5页 Pattern Recognition and Artificial Intelligence
关键词 个性化 APRIORI算法 关键词 搜索引擎 Personalization, Apriori Algorithm, Key Words, Search Engine
分类号 TP391.3 [自动化与计算机技术—计算机应用技术]
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参考文献14

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二级参考文献42

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模式识别与人工智能
2006年 第2期

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