SVM and Collaborative Filtering-Based Prediction of User Preference for Digital Fashion Recommendation Systems

Authors:
Hanhoon Kang;Seong Joon Yoo
Affiliations:
-;-
Venue:
IEICE - Transactions on Information and Systems
Year:
2007

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Abstract

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.