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Automated recommendation rule acquisition for two-way interaction-based social network web sites
Citation
Kim, YS and Mahidadia, A and Compton, P and Krzywicki, A and Wobcke, W and Bain, M and Cai, X, Automated recommendation rule acquisition for two-way interaction-based social network web sites, 17th International Conference on Knowledge Engineering and Knowledge Management, 11-15 October 2010, Lisbon, Portugal (2010) [Conference Extract]
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Abstract
A problem with social network web sites for activities such as
dating or finding new friends is that often there is little positive
response from those contacted. In this research we investigated
historical data from a large commercial social network site to
establish which subgroups of people were most likely to respond
to a particular individual. Our two-way interaction model
developed a table for each attribute to determine which pair of
values for sender and recipient gave the best response rate. From
all the attributes the user profile of a likely responder was created,
but then less significant attributes were removed. With this simple
technique we were able to demonstrate that where users had
contacted people the system would have recommended, the
success rate was 29.4% compared to a baseline success rate of
16.6%. This represents a very considerable increase in the
likelihood of getting a favourable response. We are now planning
a study that provides prospective recommendations to actual
users, based on our model.
Item Details
Item Type: | Conference Extract |
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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: | 94651 |
Year Published: | 2010 |
Deposited By: | Information and Communication Technology |
Deposited On: | 2014-09-15 |
Last Modified: | 2014-09-15 |
Downloads: | 0 |
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