PDF (2MB) - Repository staff only | ||
PDF (2MB) - Repository staff only | ||
| PDF - Accepted Version (3MB) |
- DOI to cite this document:
- 10.5283/epub.36384
Abstract
One major shortcoming of traditional recommender systems is their inability to adjust to users' short-term preferences resulting from varying situation-specific factors. To address this, we propose the notion of situation-aware recommender systems, which are supposed to autonomously determine the users' current situation based on a multitude of contextual side information and generate truly ...
Owner only: item control page