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• W2518831056 abstract "With the social network being widely used, people would like to use the friends recommendation provided by a social websites. There are lots of methods to make the recommendation results more accurately and efficiently. By considering the feature selection strategy in the stage of data preprocessing, we propose a novel friend recommendation system using a classification model, which formulates the recommendation problem. We compare the performance of four classifiers, and draw a conclusion that our proposed method can get higher accuracy." @default.
• W2518831056 created "2016-09-23" @default.
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• W2518831056 date "2016-05-01" @default.
• W2518831056 modified "2023-09-27" @default.
• W2518831056 title "A novel feature selection strategy for friends recommendation" @default.
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• W2518831056 doi "https://doi.org/10.1109/cscwd.2016.7565975" @default.
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