Neural Networks for Information Retrieval
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.
Full-day tutorial at ECIR 2018 on March 26, 2018
Table of contents
The tutorial is organized in 9 parts as described below. For more details, see the overview paper.
| Time slot | Topic | Presenters | |
|---|---|---|---|
| 09:30 - 10:15 | Introduction & preliminaries | Tom Kenter |
section slides 1 section slides 2 |
| 10:15 - 11:00 | Semantic matching | Christophe Van Gysel | section slides |
| 11:00 - 11:30 | Coffee break | ||
| 11:30 - 12:15 | Learning to rank | Bhaskar Mitra | section slides |
| 12:15 - 13:00 | Entities | Tom Kenter, Christophe Van Gysel | section slides |
| 13:00 - 14:30 | Lunch break | ||
| 14:30 - 15:15 | Modeling user behavior | Maarten de Rijke | section slides |
| 15:15 - 16:00 | Generating Responses | Tom Kenter | section slides |
| 16:00 - 16:30 | Coffee break | ||
| 16:30 - 17:15 | Recommender systems | Maarten de Rijke | section slides |
| 17:15 - 17:45 | Industry insights | Tom Kenter, Bhaskar Mitra | section slides |
| 17:45 - 18:30 | Q + A | Tom Kenter, Christophe Van Gysel, Maarten de Rijke, Bhaskar Mitra |
Citation
If you wish to refer to the tutorial in your scientific publication, please refer to our overview paper:
@inproceedings{Kenter2018nn4irecir,
Author = {Kenter, Tom and Borisov, Alexey and Van Gysel, Christophe and Dehghani, Mostafa and de Rijke, Maarten and Mitra, Bhaskar},
Booktitle = {ECIR 2018},
Organization = {Springer},
Title = {Neural Networks for Information Retrieval},
Year = {2018}}
