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Interaction-based collaborative filtering methods for recommendation in online dating
Citation
Krzywicki, A and Wobcke, W and Cai, X and Mahidadia, A and Bain, M and Compton, P and Kim, YS, Interaction-based collaborative filtering methods for recommendation in online dating, Lecture Notes in Computer Science 6488: WISE 2010, 12-14 December 2010, Hong Kong, pp. 342-356. ISBN 978-3-642-17615-9 (2010) [Refereed Conference Paper]
Copyright Statement
Copyright 2010 Springer
DOI: doi:10.1007/978-3-642-17616-6_31
Abstract
We consider the problem of developing a recommender system for
suggesting suitable matches in an online dating web site. The main problem to be
solved is that matches must be highly personalized. Moreover, in contrast to typical
product recommender systems, it is unhelpful to recommend popular items:
matches must be extremely specific to the tastes and interests of the user, but it
is difficult to generate such matches because of the two way nature of the interactions
(user initiated contacts may be rejected by the recipient). In this paper,
we show that collaborative filtering based on interactions between users is a viable
approach in this domain. We propose a number of new methods and metrics
to measure and predict potential improvement in user interaction success, which
may lead to increased user satisfaction with the dating site. We use these metrics
to rigorously evaluate the proposed methods on historical data collected from a
commercial online dating web site. The evaluation showed that, had users been
able to follow the top 20 recommendations of our best method, their success rate
would have improved by a factor of around 2.3.
Item Details
Item Type: | Refereed Conference Paper |
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Keywords: | recommender systems, social network analysis |
Research Division: | Information and Computing Sciences |
Research Group: | Artificial intelligence |
Research Field: | Artificial intelligence not elsewhere classified |
Objective Division: | Information and Communication Services |
Objective Group: | Information systems, technologies and services |
Objective Field: | Application software packages |
UTAS Author: | Kim, YS (Dr Yang Kim) |
ID Code: | 94655 |
Year Published: | 2010 |
Deposited By: | Information and Communication Technology |
Deposited On: | 2014-09-15 |
Last Modified: | 2014-10-20 |
Downloads: | 0 |
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