Glossary

Learning-To-Rank is a machine learning approach employed in info retrieval systems. This model prediction prioritizes the relevancy of items in a list, like search engine results or product suggestions.

Layer Normalization (LayerNorm) is a vital deep learning method that standardizes data processes in intermediate layers, improving model accuracy and speed.

Latent Dirichlet Allocation (LDA) is a powerful technique in natural language processing, enabling the automatic extraction of relevant topics from massive textual data collections.