IR Models
Thomas Roelleke · 2013
IR models form a core part of IR research. This tutorial consolidates the foundations of IR models, and highlights relationships that help to better understand IR models. The first part of the tutorial reviews the state-of-the-art, and the second part shows insights into the relationships between TF-IDF, the Probability of Relevance Framework (PRF), BM25, language modelling (LM), probabilistic inference networks (PIN's), and Divergence-from-Randomness (DFR).