 | 2011 |
| 14 |  | Yanir Seroussi,
Fabian Bohnert,
Ingrid Zukerman:
Personalised rating prediction for new users using latent factor models.
HT 2011: 47-56 |
| 13 |  | Lora Aroyo,
Fabian Bohnert,
Tsvi Kuflik,
Johan Oomen:
Personalized access to cultural heritage (PATCH 2011).
IUI 2011: 483-484 |
| 12 |  | Karl Grieser,
Timothy Baldwin,
Fabian Bohnert,
Liz Sonenberg:
Using ontological and document similarity to estimate museum exhibit relatedness.
JOCCH 3(3): 10 (2011) |
| 2010 |
| 11 |  | Yanir Seroussi,
Ingrid Zukerman,
Fabian Bohnert:
Collaborative Inference of Sentiments from Texts.
UMAP 2010: 195-206 |
| 10 |  | Fabian Bohnert,
Ingrid Zukerman:
Personalised Pathway Prediction.
UMAP 2010: 363-368 |
| 9 |  | Fabian Bohnert,
Ingrid Zukerman:
A User-and Item-Aware Weighting Scheme for Combining Predictive User Models.
UMAP 2010: 99-110 |
| 2009 |
| 8 |  | Fabian Bohnert,
Ingrid Zukerman:
Using Keyword-Based Approaches to Adaptively Predict Interest in Museum Exhibits.
Australasian Conference on Artificial Intelligence 2009: 656-665 |
| 7 |  | Fabian Bohnert,
Daniel Francis Schmidt,
Ingrid Zukerman:
Spatial Processes for Recommender Systems.
IJCAI 2009: 2022-2027 |
| 6 |  | Fabian Bohnert,
Ingrid Zukerman,
Daniel Francis Schmidt:
Using Gaussian Spatial Processes to Model and Predict Interests in Museum Exhibits.
ITWP 2009 |
| 5 |  | Fabian Bohnert,
Ingrid Zukerman:
Non-intrusive Personalisation of the Museum Experience.
UMAP 2009: 197-209 |
| 2008 |
| 4 |  | Fabian Bohnert:
Adaptive User Modelling and Recommendation in Constrained Physical Environments.
AH 2008: 378-383 |
| 3 |  | Fabian Bohnert,
Ingrid Zukerman,
Shlomo Berkovsky,
Timothy Baldwin,
Liz Sonenberg:
Using Collaborative Models to Adaptively Predict Visitor Locations in Museums.
AH 2008: 42-51 |
| 2 |  | Fabian Bohnert,
Ingrid Zukerman,
Shlomo Berkovsky,
Timothy Baldwin,
Liz Sonenberg:
Using interest and transition models to predict visitor locations in museums.
AI Commun. 21(2-3): 195-202 (2008) |
| 2007 |
| 1 |  | Fabian Bohnert,
Ingrid Zukerman:
Using Viewing Time for Theme Prediction in Cultural Heritage Spaces.
Australian Conference on Artificial Intelligence 2007: 367-376 |