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People recommendation based on aggregated bidirectional intentions in social network site
Citation
Kim, YS and Mahidadia, A and Compton, P and Cai, X and Bain, M and Krzywicki, A and Wobcke, W, People recommendation based on aggregated bidirectional intentions in social network site, Lecture Notes in Computer Science Volume 6232: PKAW 2010, 20 August - 3 September 2010, Daegu, Korea, pp. 247-260. ISBN 978-3-642-15036-4 (2010) [Refereed Conference Paper]
Copyright Statement
Copyright 2010 Springer
DOI: doi:10.1007/978-3-642-15037-1_21
Abstract
In a typical social network site, a sender initiates an interaction by
sending a message to a recipient, and the recipient can decide whether or not to
send a positive or negative reply. Typically a sender tries to find recipients
based on his/her likings, and hopes that they will respond positively. We
examined historical data from a large commercial social network site, and
discovered that a baseline success rate using such a traditional approach was
only 16.7%. In this paper, we propose and evaluate a new recommendation
method that considers a sender’s interest, along with the interest of recipients in
the sender while generating recommendations. The method uses user profiles of
senders and recipients, along with past data on historical interactions. The
method uses a weighted harmonic mean-based aggregation function to integrate
"interest of senders" and "interest of recipients in the sender". We evaluated the
method on datasets from the social network site, and the results are very
promising (improvement of up to 36% in success rate).
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: | 94649 |
Year Published: | 2010 |
Deposited By: | Information and Communication Technology |
Deposited On: | 2014-09-15 |
Last Modified: | 2014-12-09 |
Downloads: | 0 |
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