Machine learning plays an important role in many aspects of modern IR systems, and deep learning is applied to all of those. The fast pace of modern-day research into deep learning has given rise to many different approaches to many different IR problems.
The tutorial is organized in 8 parts as described below (times are indicative). For more details, see the overview paper on arXiv.
|09:00 - 10:00||Preliminaries||Tom Kenter, Maarten de Rijke|
|10:00 - 10:30||Text Matching I||Alexey Borisov, Bhaskar Mitra|
|10:30 - 10:50||Coffee break|
|10:50 - 11:20||Text Matching I (cont'd)||Alexey Borisov, Bhaskar Mitra|
|11:20 - 12:20||Text Matching II||Mostafa Deghani, Christophe Van Gysel|
|12:20 - 14:00||Lunch break|
|14:00 - 14:45||Learning to Rank||Christophe Van Gysel, Bhaskar Mitra|
|14:45 - 15:30||Modeling User Behavior||Alexey Borisov, Maarten de Rijke|
|15:30 - 15:50||Coffee break|
|15:50 - 16:35||Generating Responses||Mostafa Deghani, Tom Kenter|
|16:35 - 17:05||Outlook||All presenters|
|17:05 - 17:20||Wrap Up||Tom Kenter|