An introduction to neural information retrieval

✍ Scribed by Bhaskar Mitra; Nick Craswell

• Publisher: Now Publishers
• Year: 2018
• Tongue: English
• Leaves: 129
• Series: Foundations and trends in information retrieval, $x1554-0677
• Category: Library

✦ Table of Contents

Introduction
Fundamentals of text retrieval
IR tasks
Desiderata of IR models
Notation
Metrics
Traditional IR models
Neural approaches to IR
Unsupervised learning of term representations
A tale of two representations
Notions of similarity
Observed feature spaces
Latent feature spaces
Term embeddings for IR
Query-document matching
Query expansion
Supervised learning to rank
Input features
Loss functions
Deep neural networks
Input text representations
Standard architectures
Neural toolkits
Deep neural networks for IR
Document autoencoders
Siamese networks
Interaction-based networks
Lexical and semantic matching
Matching with multiple document fields
Conclusion
Acknowledgements
References