Deep Joint Embeddings of Context and Content for Recommendation

no code implementations • 13 Sep 2019 • Miklas S. Kristoffersen, Jacob L. Wieland, Sven E. Shepstone, Zheng-Hua Tan, Vinoba Vinayagamoorthy

This paper proposes a deep learning-based method for learning joint context-content embeddings (JCCE) with a view to context-aware recommendations, and demonstrate its application in the television domain.

Metric Learning