A recommendation approach dealing with multiple market segments
Chen, Lin & Nayak, Richi (2013) A recommendation approach dealing with multiple market segments. In Raghaven, Vijay, Hu, Xiaolin, Liau, Churn-Jung, & Treur, Jan (Eds.) Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence (WI) and Intelligent Agent Technology (IAT), IEEE, Atlanta, Georgia, pp. 89-94.
A new community and communication type of social networks - online dating - are gaining momentum. With many people joining in the dating network, users become overwhelmed by choices for an ideal partner. A solution to this problem is providing users with partners recommendation based on their interests and activities. Traditional recommendation methods ignore the users’ needs and provide recommendations equally to all users. In this paper, we propose a recommendation approach that employs different recommendation strategies to different groups of members. A segmentation method using the Gaussian Mixture Model (GMM) is proposed to customize users’ needs. Then a targeted recommendation strategy is applied to each identified segment. Empirical results show that the proposed approach outperforms several existing recommendation methods.
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|Item Type:||Conference Paper|
|Keywords:||Online dating networks, Recommendation, Market segment|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright © 2013 by The Institute of Electrical and Electronics Engineers, Inc.|
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|Deposited On:||04 Feb 2014 22:17|
|Last Modified:||06 Feb 2014 00:25|
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