Neural Networks for Information Retrieval
July 13, 2017 Β· Declared Dead Β· π SIGIR 2017
"No code URL or promise found in abstract"
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Authors
Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, Bhaskar Mitra
arXiv ID
1707.04242
Category
cs.IR: Information Retrieval
Cross-listed
cs.AI,
cs.CL
Citations
0
Venue
SIGIR 2017
Last Checked
4 months ago
Abstract
Machine learning plays a role in many aspects of modern IR systems, and deep learning is applied in all of them. The fast pace of modern-day research has given rise to many different approaches for many different IR problems. The amount of information available can be overwhelming both for junior students and for experienced researchers looking for new research topics and directions. Additionally, it is interesting to see what key insights into IR problems the new technologies are able to give us. The aim of this full-day tutorial is to give a clear overview of current tried-and-trusted neural methods in IR and how they benefit IR research. It covers key architectures, as well as the most promising future directions.
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