Users segmentations for recommendation
| Data(s) |
2013
|
|---|---|
| Resumo |
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. |
| Formato |
application/pdf |
| Identificador | |
| Publicador |
ACM |
| Relação |
http://eprints.qut.edu.au/58828/1/Users_Segmentations_for_Recommendation.pdf http://www.acm.org/conferences/sac/sac2013/ 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. |
| Direitos |
Copyright 2013 (please consult the authors). |
| Fonte |
Science & Engineering Faculty |
| Palavras-Chave | #089999 Information and Computing Sciences not elsewhere classified #Segmentation Strategy #Online Dating Network |
| Tipo |
Conference Paper |
