Users segmentations for recommendation
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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|Item Type:||Conference Paper|
|Keywords:||Segmentation Strategy, Online Dating Network|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > OTHER INFORMATION AND COMPUTING SCIENCES (089900) > Information and Computing Sciences not elsewhere classified (089999)|
|Divisions:||Current > QUT Faculties and Divisions > Science & Engineering Faculty|
|Copyright Owner:||Copyright 2013 (please consult the authors).|
|Deposited On:||02 Apr 2013 06:37|
|Last Modified:||15 Jun 2013 14:29|
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