Abstract
Online social networks are online collaborative environments where users can interact with other users to create, annotate, communicate, modify and delete media together. However, online social networks do not provide adaptive interfaces, by which one user might be presented with tools which are relative to their collaborative behaviour with another. This work presents behavioural stereotypes derived from the literature to help understand and predict user behaviour in an online social network underpinned by an adaptive interface framework. A user's behaviour stereotype will be determined by a proposed classication framework which processes usage data in real time.
| Original language | English |
|---|---|
| Pages (from-to) | 11-15 |
| Number of pages | 5 |
| Journal | Australian Journal of Intelligent Information Processing Systems |
| Volume | 13 |
| Issue number | 4 |
| Publication status | Published - 2014 |
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