Program

Accepted long papers

  • Mesut Kaya and Derek Bridge. Accurate and Diverse Recommendations using Item-Based SubProfiles
  • Felipe Soares Da Costa and Peter Dolog. Hybrid Learning Model with Barzilai-Borwein Optimization for Context-aware Recommendations
  • Anbarasu Sekar and Sutanu Chakraborti. Towards bridging the gap between Manufacturer and Users to facilitate better Recommendation

Accepted short papers

  • James Schaffer, James Michaelis, Adrienne Raglin and Stephen Russell. Between Multi-Attribute Utility Decision Making and Recommender Systems: Transparent, Instantaneous, Local Recommendations for Sparse Data
  • Frederico Araujo Durao, Bruno Souza Cabral, Arthur Fortes Da Costa and Marcelo Garcia Manzato. Evaluating Multiple User Interactions for Ranking Personalization Using Ensemble Methods
  • Yong Zheng. Context-Aware Mobile Recommendation By A Novel Post-Filtering Approach
  • Khalil Muhammad, Aonghus Lawlor and Barry Smyth. A Multi-Domain Analysis of Explanation-Based Recommendation using User-Generated Reviews

 

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