Special Track on Recommender Systems @ FLAIRS 2018

Below is the list of accepted papers:

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

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

Track Chairs

Nadia Najjar, University of North Carolina at Charlotte, USA
Carlos E. Seminario, University of North Carolina at Charlotte, USA
Yong Zheng, Illinois Institute of Technology, USA

Program Committee Members

Robin Burke, DePaul Universtiy, USA
Toon De-Pessemier, Ghent University, Belgium
Neil Hurley, University College Dublin, Ireland
Bart Knijnenburg, Clemson University, USA
Takashi Okumura, National Institute of Public Health, Japan
Lara Quijano-Sánchez, Complutense University of Madrid (UCM), Spain
Laura Sebastiá, The Technical University of Valencia, Spain