Mitra B., Craswell N. An introduction to neural information retrieval

Delft: Now Publishers, 2018. — 129 p.Fundamentals of text retrieval.
IR tasks.
Desiderata of IR models.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.