An Information-Theoretic Privacy Criterion for Query Forgery in Information Retrieval.
David Rebollo-MonederoJavier Parra-ArnauJordi FornéPublished in: FGIT-SecTech (2011)
Keyphrases
- information theoretic
- information retrieval
- minimum description length
- information theory
- query expansion
- mutual information
- relative entropy
- retrieval systems
- theoretic framework
- boolean queries
- relevance feedback
- user queries
- information retrieval systems
- query terms
- entropy measure
- log likelihood
- information theoretic measures
- information bottleneck
- search engine
- privacy preserving
- jensen shannon divergence
- computational learning theory
- multi modality
- retrieval model
- kl divergence
- document retrieval
- language model
- selection criterion
- kullback leibler divergence
- test collection
- text mining
- computer vision
- relational data
- machine learning
- relevant documents
- information extraction
- feature selection
- distributional clustering