Users segmentations for recommendation

Chen Lin, Richi Nayak, Sangeetha Kutty, Yue Xu · 2013

Traditional recommendation methods provide recommendations equally to all users. In this paper, a segmentation method using the Gaussian Mixture Model (GMM) is proposed to customize users' needs in order to offer a specific recommendation strategy to each segment. Experiment is conducted using a live online dating network data.

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