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 SIGIR 2017 on August 7, 2017
Table of contents
The tutorial is organized in 8 parts as described below. For more details, see the overview paper on arXiv.
| Time slot | Topic | Presenters | |
|---|---|---|---|
| 09:00 - 09:05 | Introduction | Tom Kenter | section slides |
| 09:05 - 10:00 | Preliminaries | Tom Kenter, Maarten de Rijke | section slides |
| 10:00 - 10:30 | Text Matching I | Alexey Borisov, Bhaskar Mitra | section slides |
| 10:30 - 10:50 | Coffee break | ||
| 10:50 - 11:20 | Text Matching I (cont'd) | Alexey Borisov, Bhaskar Mitra | section slides |
| 11:20 - 12:20 | Text Matching II | Mostafa Deghani, Christophe Van Gysel | section slides |
| 12:20 - 14:00 | Lunch break | ||
| 14:00 - 14:45 | Learning to Rank | Christophe Van Gysel, Bhaskar Mitra | section slides |
| 14:45 - 15:30 | Modeling User Behavior | Alexey Borisov, Maarten de Rijke | section slides |
| 15:30 - 15:50 | Coffee break | ||
| 15:50 - 16:35 | Generating Responses | Mostafa Deghani, Tom Kenter | section slides |
| 16:35 - 17:20 | Wrap Up | All presenters | section slides |
Citation
If you wish to refer to the tutorial in your scientific publication, please refer to our overview paper:
@inproceedings{Kenter2017nn4ir,
Author = {Kenter, Tom and Borisov, Alexey and Van Gysel, Christophe and Dehghani, Mostafa and de Rijke, Maarten and Mitra, Bhaskar},
Booktitle = {SIGIR 2017},
Organization = {ACM},
Pages = {1403--1406},
Title = {Neural Networks for Information Retrieval},
Year = {2017}}
