Interaction-Based Collaborative Filtering Methods for Recommendation in Online Dating

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… (More)
DOI: 10.1007/978-3-642-17616-6_31

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Cite this paper

@inproceedings{Krzywicki2010InteractionBasedCF, title={Interaction-Based Collaborative Filtering Methods for Recommendation in Online Dating}, author={Alfred Krzywicki and Wayne Wobcke and Xiongcai Cai and Ashesh Mahidadia and Michael Bain and Paul Compton and Yang Sok Kim}, booktitle={WISE}, year={2010} }