Recurrent Neural Networks for Session-based Recommendations - Alexandros Karatzoglou

Our research in the area started with our work on RNN’s for session-based based recommendations that was published in 2015 at ICLR. Since then we have extended the session-based RNN model with features, improved loss functions, personalization with hierarchical RNN’s, and compressed representations with bloom embeddings.
I will give an overview of our work in the area over the past two years.

[@hr3nk]

Very informative talk, I wonder if newer Transformer based models have been applied to sequential recommendations task (I've seen some papers but not public talks), would really appreciate if anybody shared ☺

[@myronwoods40]

13:45 Did the cameraman intentionally zoom in on that guy sleeping??

[@manojyadav-ej6kz]

Can I get more information on this ...

[@criteoeng]

Hello Manoj, Should you wish for more information, we advise you to reach out to Alexandros Karatzoglou directly.

[@manojyadav-ej6kz]

@@criteoeng can you pls provide any email or other mode to contact Alex

[@criteoeng]

@@manojyadav-ej6kz He is reachable through his LinkedIn: linkedin.com/in/alexandroskaratzoglou or at [e-mail]