SVM and Collaborative Filtering-Based Prediction of User Preference for Digital Fashion Recommendation Systems(Data Mining)

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概要

• 論文の詳細を見る

• In this paper, we describe a method of applying Collaborative Filtering with a Machine Learning technique to predict users' preferences for clothes on online shopping malls when user history is insufficient. In particular, we experiment with methods of predicting missing values, such as mean value, SVD, and support vector regression, to find the best method and to develop and utilize a unique feature vector model.

• 社団法人電子情報通信学会の論文
• 2007-12-01

著者

• Yoo Seong

  Konkuk Univ. Seoul Kor

• Yoo Seong

  Sejong University

• KANG Hanhoon

  Sejong University

関連論文

• SVM and Collaborative Filtering-Based Prediction of User Preference for Digital Fashion Recommendation Systems(Data Mining)
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