Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject Collaborative filtering
Showing results 3 to 4 of 4
< previous
| Issue Date | Title | Author(s) |
|---|---|---|
| 2020 | An optimally weighted user- and item-based collaborative filtering approach to predicting baseline data for Friedreich's Ataxia patients | Yue, W; Wang, Z; Liu, W; Tian, B; Lauria, S; Liu, X |
| 2011 | Using recommendations to help novices to reuse design knowledge | Malizia, A; Navarro, I; Aedo, I |