We are pleased to announce that the following papers have been accepted presentation in Barcelona
Long:
- Licai Wang, Xiangwu Meng, Yujie Zhang and Yancui Shi. A New Approach to Mood-based Hybrid Collaborative Filtering
- Nathan Liu. Adapting Neighborhood and Matrix Factorization Models for Context Aware Recommendations
- Yue Shi, Martha Larson and Alan Hanjalic. Mining Mood-specific Movie Similarity with Matrix Factorization for Context-aware Recommendation [overall winners of the challenge]
- Fernando Díez, Pedro G. Campos, J. Enrique Chavarriaga and Alejandro Bellogín. Movie Recommendations based in explicit and implicit features extracted from the Filmtipset dataset
- Zeno Gantner, Steffen Rendle and Lars Schmidt-Thieme. Time vs. Tags: Factorization Models for Context-/Time-Aware Movie Recommendations
Short:
- Cihang Jin, Pei Wu and Weiping Liu. A Novel Recommender System Fusing the Opinions from Experts and Ordinary People
- Bin Liu and Zheng Yuan. Incorporating Social Networks and User Opinions for Collaborative Recommendation: Modified CF and Local Trust Network based Methods
- Antoine Brenner, Bruno Pradel and Nicolas Usunier. Predicting Most Rated Items in Weekly Recommendation with Temporal Regression
- Pedro G. Campos, Alejandro Bellogín, Fernando Díez and J. Enrique Chavarriaga. Simple Time-Biased KNN-based recommendations
- Hossein Rahmani, Beau Piccart, Daan Fierens and Hendrik Blockeel. Two complementary approaches to context aware movie recommendation
