Users segmentations for recommendation

Chen, Lin, Nayak, Richi, Kutty, Sangeetha, & Xu, Yue (2013) Users segmentations for recommendation. In Proceedings of the 28th Annual ACM Symposium on Applied Computing, ACM, Coimbra, Portugal.

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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.

Impact and interest:

1 citations in Scopus
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119 since deposited on 02 Apr 2013
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ID Code: 58828
Item Type: Conference Paper
Refereed: Yes
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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