255 citations · 780 across the 58 of their papers we have counts for
3 papers · 1 filter
Relaxed N-Pairs Loss for Context-Aware Recommendations of Television Content
Miklas S. Kristoffersen, Sven E. Shepstone, Zheng-Hua Tan
This paper studies context-aware recommendations in the television domain by proposing a deep learning-based method for learning joint context-content embeddings (JCCE). The method…
Deep Joint Embeddings of Context and Content for Recommendation
Miklas S. Kristoffersen, Jacob L. Wieland, Sven E. Shepstone +2
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…
The Importance of Context When Recommending TV Content: Dataset and Algorithms
Miklas S. Kristoffersen, Sven E. Shepstone, Zheng-Hua Tan
Home entertainment systems feature in a variety of usage scenarios with one or more simultaneous users, for whom the complexity of choosing media to consume has increased rapidly o…