Probabilistic models of information retrieval based on measuring the divergence from randomness.
Gianni AmatiC. J. van RijsbergenPublished in: ACM Trans. Inf. Syst. (2002)
Keyphrases
- probabilistic model
- information retrieval
- divergence from randomness
- language model
- ir models
- language modelling
- language modeling
- retrieval model
- tf idf
- generative model
- vector space model
- search engine
- n gram
- test collection
- latent semantic indexing
- evaluation measures
- document retrieval
- information retrieval systems
- expectation maximization
- learning to rank
- query expansion
- text mining
- weighting scheme
- xml retrieval
- document ranking
- retrieval effectiveness
- document representation
- pseudo relevance feedback
- text classification
- information extraction
- bayesian networks
- relevant documents