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Evaluation and deployment of a people-to-people recommender in online dating
Citation
Krzywicki, A and Wobcke, W and Kim, YS and Cai, X and Bain, M and Compton, P and Mahidadia, A, Evaluation and deployment of a people-to-people recommender in online dating, Proceedings of the 26th Innovative Applications of Artificial Intelligence Conference 2014, 29-31 July 2014, Quebec, Canada, pp. 2914-2921. ISBN 978-1-57735-661-5 (2014) [Refereed Conference Paper]
Copyright Statement
Copyright 2014 Association for the Advancement of Artificial Intelligence
Official URL: http://www.aaai.org/ocs/index.php/IAAI/IAAI14/pape...
Abstract
This paper reports on the successful deployment of a people to-
people recommender system in a large commercial online
dating site. The deployment was the result of thorough evaluation
and an online trial of a number of methods, including
profile based, collaborative filtering and hybrid algorithms.
Results taken a few months after deployment show that key
metrics generally hold their value or show an increase compared
to the trial results, and that the recommender system
delivered its projected benefits.
Item Details
| Item Type: | Refereed Conference Paper |
|---|---|
| Keywords: | recommender systems, social network analysis |
| Research Division: | Information and Computing Sciences |
| Research Group: | Artificial Intelligence and Image Processing |
| Research Field: | Artificial Intelligence and Image Processing not elsewhere classified |
| Objective Division: | Information and Communication Services |
| Objective Group: | Computer Software and Services |
| Objective Field: | Application Software Packages (excl. Computer Games) |
| UTAS Author: | Kim, YS (Dr Yang Kim) |
| ID Code: | 94672 |
| Year Published: | 2014 |
| Deposited By: | Information and Communication Technology |
| Deposited On: | 2014-09-15 |
| Last Modified: | 2017-11-18 |
| Downloads: | 0 |
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