Multi-Task Learning and Matrix Regularization
Collaborative Filtering with the Trace Norm: Learning, Bounding, and Transducing
Multi-Task Learning via Matrix Regularization
PNP: Fast Path Ensemble Method for Movie Design
Using Ontology-based Data Summarization to Develop Semantics-aware Recommender Systems
Kernels for Link Prediction with Latent Feature Models
The Recommender Problem Revisited
Convex Sparse Methods for Feature Hierarchies
Transfer learning in social recommendations
Large-Scale Collaborative Prediction Using a Nonparametric Random Effects Model