9:00 – 9:15 Opening and Greetings
9:15 – 10:15 Keynote: Francesco Ricci – The Context of a Recommendation
10:15 – 10:30 Presentation of the Challenge (Organizers)
10:30 – 11:00 Coffee Break
11:00 – 11:25 Zeno Gantner, Steffen Rendle and Lars Schmidt-Thieme. Factorization Models for Context-/Time-Aware Movie Recommendations
11:25 – 11:50 Nathan Liu Bin Cao, Min Zhao and Qiang Yang. Adapting Neighborhood and Matrix Factorization Models for Context Aware Recommendations
11:50 – 12:05 Pedro G. Campos, Alejandro Bellogín, Fernando Díez and J. Enrique Chavarriaga. Simple Time-Biased KNN-based recommendations
12:05 – 12:20 Antoine Brenner, Bruno Pradel and Nicolas Usunier. Predicting Most Rated Items in Weekly Recommendation with Temporal Regression
12:20 – 12:45 Licai Wang, Xiangwu Meng, Yujie Zhang and Yancui Shi. New Approaches to Mood-based Hybrid Collaborative Filtering
13:00 – 15:00 Lunch Break
15:00 – 15:25 Yue Shi, Martha Larson and Alan Hanjalic. Mining Mood-specific Movie Similarity with Matrix Factorization for Context-aware Recommendation
15:25 – 15:40 Pei Wu, Weiping Liu and Cihang Jin. A Novel Recommender System Fusing the Opinions from Experts and Ordinary People
15:40 – 16:05 Fernando Díez, J. Enrique Chavarriaga, Pedro G. Campos, and Alejandro Bellogín. Movie Recommendations based in explicit and implicit features extracted from the Filmtipset dataset
16:05 – 16:20 Bin Liu and Zheng Yuan. Incorporating Social Networks and User Opinions for Collaborative Recommendation: Local Trust Network based Method
16:20 – 16:35 Hossein Rahmani, Beau Piccart, Daan Fierens and Hendrik Blockeel. Three complementary approaches to context aware movie recommendation
16:35 – 17:00 Expert Panel Presentations
17:00 – 17:30 Coffee Break
17:30 – 18:00 Open Discussion
