Doctoral Symposium

sponsored by NSF

• Matthias Braunhofer:
  Hybridisation Techniques for Cold-Starting Context-Aware Recommender Systems
• Evangelia Christakopoulou:
  Moving beyond Linearity and Independence in Top-N Recommender Systems
• Betty Mayeku:
  Enhancing Personalization and Learner Engagement through Context-aware Recommendation in TEL
• Tien T. Nguyen:
  Improving Recommender Systems: User Roles and Lifecycles
• Amit Sharma:
  Modeling the Effect of People’s Preferences and Social Forces on Adopting and Sharing Items
• Martin Stettinger:
  Choicla: Towards Domain-Independent Decision Support for Groups of Users
• Fatemeh Vahedian:
  Weighted Hybrid Recommendation for Heterogeneous Networks
• Yongfeng Zhang:
  Browser-Oriented Universal Cross-Site Recommendation and Explanation based on User Browsing Logs
• Yong Zheng:
  Deviation-based and Similarity-based Contextual SLIM Recommendation Algorithms

Date

Oct 10, 9.00 – 17.30

Location

Yale Room