Parameter estimation for probabilistic document-retrieval models.
Robert M. LoseePublished in: J. Am. Soc. Inf. Sci. (1988)
Keyphrases
- parameter estimation
- retrieval model
- document retrieval
- retrieval systems
- language modeling framework
- information retrieval systems
- term frequency
- vector space model
- tf idf
- information retrieval
- language model
- test collection
- retrieval effectiveness
- language modeling
- user queries
- query terms
- maximum likelihood
- document collections
- improvements in retrieval effectiveness
- least squares
- vector space
- query expansion
- retrieval framework
- probabilistic model
- model selection
- markov random field
- relevant documents
- term dependence
- em algorithm
- probabilistic retrieval models
- expectation maximization
- parameter values
- parameter estimation algorithm
- posterior distribution
- web search
- relevance feedback
- retrieval functions
- query topic
- relevance model
- document ranking
- keywords
- bayesian networks
- term dependencies
- text documents
- query processing
- distance measure
- similarity measure
- multimedia
- search engine