TrackRecSys @ ACM SAC 2017

The 32nd ACM Symposium on Applied Computing, April 3-7, 2017, Marrakesh, Morocco

Track Chairs

Yong Zheng, Illinois Institute of Technology, USA
Li Chen, Hong Kong Baptist University, Hong Kong, China
Markus Zanker, Free University of Bolzano, Italy

Program Committee

Konstantin Bauman, New York University, USA
Alejandro Bellogin, Universidad Autónoma de Madrid, Spain
Toine Bogers, Aalborg University Copenhagen, Denmark
Ludovico Boratto, Eurecat, Spain
Derek Bridge, Insight Centre for Data Analytics, Ireland
Robin Burke, DePaul University, USA
Cornelia Caragea, University of North Texas, USA
Michael D. Ekstrand, Boise State University, USA
Mehdi Elahi, Politecnico di Milano, Italy
Alexander Felfernig, Graz University of Technology, Austria
Ricci Francesco, Free University of Bozen-Bolzano, Italy
Hancheng Ge, Texas A&M University, USA
Jonathan Gemmell, DePaul University, USA
Guibing Guo, Northeastern University, China
Dietmar Jannach, Technische Universität Dortmund, Germany
Bart Knijnenburg, Clemson University, USA
Neal Lathia, Skyscanner, UK
Pasquale Lops, University of Bari Aldo Moro, Italy
Michael O’Mahony, Insight Centre for Data Analytics, Ireland
Ge Mouzhi, Free University of Bozen-Bolzano, Italy
Cataldo Musto, University of Bari Aldo Moro, Italy
Weike Pan, Shenzhen University, China
Symeonidis Panagiotis, Aristotle University, Greece
Denis Parra, Pontifical Catholic University of Chile, Chile
Sole Pera, Boise State University, USA
Alan Said, University of Skovde, Sweden
Bin Wu, Zhengzhou University, China
Fatemeh Vahedian, DePaul University, USA
Yong Zhuang, Carnegie Mellon University, USA

Accepted Regular Papers

Paper Title Authors
Offline Performance vs. Subjective Quality Experience: A Case Study in Video Game Recommendation Dietmar Jannach and Lukas Lerche
Less Algorithms, Better Recommendations. Fanjuan SHI and Chirine Ghedira
Leveraging Multi-Dimensional User Models for Personalized Next-Track Music Recommendation Dietmar Jannach, Iman Kamehkhosh and Lukas Lerche
Effective Recommendation by Category Hierarchy Zhu Sun, Guibing Guo and Jie Zhang
A Framework for Unexpectedness Evaluation in Recommendation Thiago Silveira, Leonardo Rocha and Fernando Mourão
Determining Characteristics of Successful Recommendations from Log Data – A Case Study Dietmar Jannach and Malte Ludewig
Action Prediction Models for Recommender Systems Based on Collaborative Filtering and Sequence Mining Hybridization Tural Gurbanov and Francesco Ricci
Dynamic Elicitation of User Preferences in a Chat-Based Group Recommender System Thuy Ngoc Nguyen and Francesco Ricci
Text-Based Question Routing for Question Answering Communities via Deep Learning Amr Azzam, Neamat El Tazi and Ahmad Hossny

Accepted Short Papers/Posters

Paper Title Authors
How Item Discovery Enabled by Diversity Leads to Increased Recommendation List Attractiveness Bruce Ferwerda, Mark Graus, Andreu Vall, Marko Tkalcic and Markus Schedl
A Language Modeling Approach for the Recommendation of Tourism-Related Services Sondess Missaoui, Marco Vivani, Rim Faiz and Gabriella Pasi

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