Users segmentations for recommendation

Authors:
Lin Chen;Richi Nayak;Sangeetha Kutty;Yue Xu
Affiliations:
Queensland University of Technology, Brisbane, Australia;Queensland University of Technology, Brisbane, Australia;Queensland University of Technology, Brisbane, Australia;Queensland University of Technology, Brisbane, Australia
Venue:
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Year:
2013

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Abstract

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.