Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
On modeling information retrieval with probabilistic inference
ACM Transactions on Information Systems (TOIS)
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Probabilistic models of information retrieval based on measuring the divergence from randomness
ACM Transactions on Information Systems (TOIS)
On Event Spaces and Probabilistic Models in Information Retrieval
Information Retrieval
Relevance information: a loss of entropy but a gain for IDF?
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
An exploration of axiomatic approaches to information retrieval
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
A parallel derivation of probabilistic information retrieval models
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
On event space and rank equivalence between probabilistic retrieval models
Information Retrieval
Towards a better understanding of the relationship between probabilistic models in IR
ICTIR'11 Proceedings of the Third international conference on Advances in information retrieval theory
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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).