most citedCollaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes

70 citations · 87 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2012★ 70 cited

Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes

Kai Yu, Anton Schwaighofer, Volker Tresp +2

Collaborative filtering (CF) and content-based filtering (CBF) have widely been used in information filtering applications. Both approaches have their strengths and weaknesses whic…

cs.AI2012★ 17 cited

Infinite Hidden Relational Models

Zhao Xu, Volker Tresp, Kai Yu +1

In many cases it makes sense to model a relationship symmetrically, not implying any particular directionality. Consider the classical example of a recommendation system where the…