Integrating neurophysiologic relevance feedback in intent modeling for information retrieval.
Giulio JacucciOswald BarralPedram DaeeMarkus WenzelBaris SerimTuukka RuotsaloPatrik PluchinoJonathan FreemanLuciano GamberiniSamuel KaskiBenjamin BlankertzPublished in: J. Assoc. Inf. Sci. Technol. (2019)
Keyphrases
- relevance feedback
- information retrieval
- information retrieval systems
- retrieval model
- query expansion
- relevant documents
- document retrieval
- image retrieval
- retrieval effectiveness
- retrieval process
- learning to rank
- search engine
- language model
- question answering
- user feedback
- text retrieval
- data sets
- test collection
- document collections
- retrieval framework
- feedback information
- sparck jones
- retrieval accuracy
- pseudo relevance feedback
- active learning
- digital libraries
- neural network