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People-to-people recommendation using multiple compatible subgroups
Citation
Kim, YS and Mahidadia, A and Compton, P and Krzywicki, A and Wobcke, W and Cai, X and Bain, M, People-to-people recommendation using multiple compatible subgroups, Lecture Notes in Computer Science 7691: AI 2012, 4-7 December 2012, Sydney, Australia, pp. 61-72. ISBN 978-3-642-35100-6 (2012) [Refereed Conference Paper]
Copyright Statement
Copyright 2012 Springer
DOI: doi:10.1007/978-3-642-35101-3_6
Abstract
People-to-people recommendation aims at suggesting suitable
matches to people in a way that increases the likelihood of a positive interaction.
This problem is more difficult than conventional item-to-people recommendation
since the preferences of both parties need to be taken into account.
Previously we proposed a profile-based recommendation method that first uses
compatible subgroup rules to select a single best attribute value for each corresponding
value of the user, then combines these attribute value pairs into a rule
that determines the recommendations. Though this method produces a significant
improvement in the probability of an interaction being successful, it has
two significant limitations: (i) by considering only single matching attribute
values the method ignores cases where different attribute values are closely related,
missing potential candidates, and (ii) when ranking candidates for recommendation
the method does not consider individual behaviour. This paper
addresses these two issues, showing how multiple attributes can be used
with compatible subgroup rules and individual reply rates used for ranking
candidates. Our experimental results show that the new approach significantly
improves the probability of an interaction being successful compared to our
previous approach.
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: | 94668 |
Year Published: | 2012 |
Deposited By: | Information and Communication Technology |
Deposited On: | 2014-09-15 |
Last Modified: | 2015-02-13 |
Downloads: | 0 |
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