Application of Key Words Recommendation Based on Apriori Algorithm in ThemeOriented Personalized Search
LIU Qi1, BU JiaJun2, CHEN Chun2
1.James D. Watson Institute of Genome Sciences, Zhejiang University, Hangzhou 310008 2.College of Computer Science and Technology, Zhejiang University, Hangzhou 310027
Abstract The application of collaborative filtering algorithm in key words recommendation is analysed and a themeoriented 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.
LIU Qi,BU JiaJun,CHEN Chun. Application of Key Words Recommendation Based on Apriori Algorithm in ThemeOriented Personalized Search[J]. , 2006, 19(2): 186-190.
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