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