Program

[9:00 – 9:05]	Welcome to DLRS 2018!	[slides]
[9:05 – 9:50]	Keynote: Deep Learning from Logged Interventions by Thorsten Joachims	[slides]
[9:50 – 10:10]	A Collective Variational Autoencoder for Top-N Recommendation with Side Information Yifan Chen, Maarten de Rijke	[slides]
[10:10 – 10:30]	Item Recommendation with Variational Autoencoders and Heterogeneous Priors by Giannis Karamanolakis, Kevin Raji Cherian, Ananth Ravi Narayan, Jie Yuan, Da Tang, Tony Jebara	[slides]
[10:30 – 11:00]	Coffee break
[11:00 – 11:45]	Keynote: Delayed Learning, Multi-objective Optimization, and Whole Slate Generation in Recommender Systems by Ray Jiang	[slides]
[11:45 – 12:05]	News Session-Based Recommendations using Deep Neural Networks by Gabriel de Souza P. Moreira, Felipe Ferreira, Adilson Marques da Cunha	[slides]
[12:05 – 12:25]	Knowledge-aware Autoencoders for Explainable Recommender Systems by Vito Bellini, Angelo Schiavone, Tommaso Di Noia, Azzurra Ragone, Eugenio Di Sciascio	[slides]
[12:25 – 12:30]	Closing remarks