Workshop Program
09:00 - 9:10 Opening Remarks09:10 - 10:30 Research Session 1
- Location-Aware Recommendation Systems: Where We Are and Where We Recommend to Go (25 min)
- Automatic Recommendations of Categories for Geospatial Entities (15 min)
- Location-Aware Online Learning for Top-k Hashtag Recommendation (15 min)
- "Where Far Can Be Close" Finding Distant Neighbors in Recommender Systems (25 min)
10:30 - 11:00 Coffee Break
11:00 - 12:05 Research Session 2
- Context-Aware Recommendations for Mobile Shopping (25 min)
- Personalized Location Recommendation by Aggregating Multiple Recommenders in Diversity (25 min)
- From Sensors to Songs: A Learning-Free Novel Music Recommendation System using Contextual Sensor Data (15 min)
12:05 - 12:30 Discussion - Closing
Note: Full paper presentations are 25 minutes (15 presentation + 10 discussion); short paper presentations are 15 minutes (10+5).
List of Accepted Papers
- M. del Carmen Rodríguez-Hernández, S. Ilarri, R. Trillo-Lado, and R. Hermoso. Location-Aware Recommendation Systems: Where We Are and Where We Recommend to Go.
- G. Giannopoulos, N. Karagiannakis, D. Skoutas, and S. Athanasiou. Automatic Recommendations of Categories for Geospatial Entities.
- V. Kumar, D. Jarratt, R. Anand, J. A. Konstan, and B. Hecht. "Where Far Can Be Close" Finding Distant Neighbors in Recommender Systems.
- B. Lamche, Y. Rödl, C. Hauptmann, and W. Wörndl. Context-Aware Recommendations for Mobile Shopping.
- Z. Lu, H. Wang, N. Mamoulis, W. Tu, and D. W. Cheung. Personalized Location Recommendation by Aggregating Multiple Recommenders in Diversity.
- R. Palovics, P. Szalai, L. Kocsis, J. Pap, E. Frigo, and A. A. Benczur. Location-Aware Online Learning for Top-k Hashtag Recommendation.
- A. Sen and M. Larson. From Sensors to Songs: A Learning-Free Novel Music Recommendation System using Contextual Sensor Data.
