Accepted Papers

Long Papers

Community-Aware Diversification of Recommendations
Mesut Kaya, University College Cork, Ireland
Derek Bridge, University College Cork, Ireland

Global versus Individual Accuracy in Contextual Multi-Armed Bandit
Nicolas Gutowski, ERIS, ESEO-TECH, France
Tassadit Amghar, Université d’Angers – LERIA, France
Olivier Camp, ERIS, ESEO-TECH, France
Fabien Chhel, ERIS, ESEO-TECH, France

Matrix Factorization based Heuristics for Constraint-based Recommenders
Seda Polat Erdeniz, Graz University of Technology, Austria
Alexander Felfernig, Graz University of Technology, Austria
Ralph Samer, Graz University of Technology, Austria
Muesluem Atas, Graz University of Technology, Austria

Top-N Group Recommendations with Fairness
Dimitris Sacharidis, Technische Universität Wien, Austria

Towards Explaining Recommendations through Local Surrogate Models
Caio Nóbrega, Federal University of Campina Grande, Brazil
Leandro Marinho, Federal University of Campina Grande, Brazil

Short/Poster Papers

CoRE: A Cold-start Resistant and Extensible Recommender System
Mostafa Bayomi, Trinity College Dublin, Ireland
Annalina Caputo, Trinity College Dublin, Ireland
Matthew Nicholson, Trinity College Dublin, Ireland
Anirban Chakraborty, Trinity College Dublin, Ireland
Sèamus Lawless, Trinity College Dublin, Ireland

Preselection of Documents for Personalized Recommendations of Job Postings based on
Word Embeddings
Steffen Schnitzer, Technische Universität Darmstadt, Germany
Dominik Reis, Technische Universität Darmstadt, Germany
Wael Alkhatib, Technische Universität Darmstadt, Germany
Christoph Rensing, Technische Universität Darmstadt, Germany
Ralf Steinmetz, Technische Universität Darmstadt, Germany

The Influence of Trust Cues on the Trustworthiness of Online Reviews for Recommendations
Catalin-Mihai Barbu, University of Duisburg-Essen, Germany
Guillermo Carbonell, University of Duisburg-Essen, Germany
Jürgen Ziegler, University of Duisburg-Essen, Germany