Neural Networks for Information Retrieval

TL;DR

This paper provides a comprehensive overview of neural network methods in information retrieval, highlighting their benefits and current applications in modern IR systems.

Contribution

It offers a clear, consolidated tutorial on neural approaches in IR, aiding researchers and students in understanding current methods and research directions.

Findings

Neural methods significantly improve IR performance.

Deep learning techniques are widely adopted across IR tasks.

The tutorial clarifies current best practices in neural IR.

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 approaches to many 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. 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.