TrackRecSys @ ACM SAC 2018

Track on Recommender Systems: Theory, User Interactions & Applications

at The 33rd ACM SIGAPP Symposium On Applied Computing, Pau, France, April 9 – 13, 2018

Accepted Papers

Type Title Authors
Long Investigating Serendipity in Recommender Systems Based on Real User Feedback Denis Kotkov, Joseph A. Konstan, Qian Zhao and Jari Veijalainen
Long What toWrite and Why: a Recommender for News Media Alessandro Cucchiarelli, Christian Morbidoni, Giovanni Stilo and Paola Velardi
Long A Hybrid Approach to Music Playlist Continuation Based on Playlist-Song Membership Andreu Vall, Matthias Dorfer, Markus Schedl and Gerhard Widmer
Long Explicit or Implicit Feedback? Engagement or Satisfaction? — A Field Experiment on Machine-Learning-Based Recommender Systems Qian Zhao, F. Maxwell Harper, Gediminas Adomavicius and Joseph Konstan
Long Human Uncertainty and Ranking Error – The Secret of Successful Evaluation of Recommender Systems Kevin Jasberg and Sergej Sizov
Long Situation-Dependent Combination of Long-Term and Session-Based Preferences in Group Recommendations: An Experimental Analysis Thuy Ngoc Nguyen and Francesco Ricci
Long Active Learning in Multi-Domain Collaborative Filtering Recommender Systems Xin Guan, Chang-Tsun Li and Yu Guan
Long MovieExplorer: Building an Interactive Exploration Tool from Ratings and Latent Taste Spaces Taavi Taijala, Martijn Willemsen and Joseph Konstan
Short Knowing the Unknown: Visualising Consumption Blind-Spots in Recommender System Nava Tintarev, Shahin Rostami and Barry Smyth
Short A Label Ranking approach for selecting rankings of Collaborative Filtering algorithms Tiago Cunha, Carlos Soares and Andre Carvalho

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

Alejandro Bellogin, Universidad Autónoma de Madrid, Spain
Shlomo Berkovsky, Data61, CSIRO, Australia
Derek Bridge, Insight Centre for Data Analytics, Ireland
Robin Burke, DePaul University, USA
Ivan Cantador, Universidad Autónoma de Madrid, Spain
Liang Dong, Google, Inc, USA
Zhenhua Dong, Huawei, Inc, China
Mehdi Elahi, Free University of Bozen, Italy
Jonathan Gemmell, DePaul University, USA
Guibing Guo, Northeastern University, China
Dietmar Jannach, TU Dortmund, Germany
Bart Knijnenburg, Clemson University, USA
Andrej Košir, University of Ljubljana, Slovenia
Pasquale Lops, University of Bari Aldo Moro, Italy
Cataldo Musto, University of Bari Aldo Moro, Italy
Weike Pan, Shenzhen University, China
Shaghayegh Sahebi, University at Albany, SUNY, USA
Alan Said, University of Skovde, Sweden
Zhu Sun, Nanyang Technological University, Singapore
Marko Tkalcic, Free University of Bozen, Italy
Jie Yang, Delft University of Technology, Netherlands
Tong Yu, Carnegie Mellon University, USA
Yong Zhuang, Carnegie Mellon University, USA


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