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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)
Author:Kim, YS (Dr Yang Kim)
ID Code:94672
Year Published:2014
Deposited By:Computing and Information Systems
Deposited On:2014-09-15
Last Modified:2015-04-27
Downloads:0

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