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- W2369440122 abstract "To get the accurate user clustering,a user clustering algorithm based on the keyword is presented.Based on the foundation of the traditional Rock algorithm,the concept of the similarity weight and average neighbors are proposed.The average number of neighbors of the user Key words transactions is defined as the user access pattern similarity criteria.The big user clustering is divided into more several small user clustering,so the scope is narrowed based on no outliers user points.The user similarity threshold is used for data filtering,thus the calculation amount of user clustering is reduced.The experiments show that the algorithm can effectively improve the accuracy and the efficiency of the similar user clustering." @default.
- W2369440122 created "2016-06-24" @default.
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- W2369440122 date "2012-01-01" @default.
- W2369440122 modified "2023-09-23" @default.
- W2369440122 title "User clustering algorithm based on Keywords" @default.
- W2369440122 hasPublicationYear "2012" @default.
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