Integrating neurophysiologic relevance feedback in intent modeling for information retrieval

The use of implicit relevance feedback from neurophysiology could deliver effortless information retrieval. However, both computing neurophysiologic responses and retrieving documents are characterized by uncertainty because of noisy signals and incomplete or inconsistent representations of the data...

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Veröffentlicht in:	Journal of the American Society for Information Science and Technology 2019-09, Vol.70 (9), p.917-930
Hauptverfasser:	Jacucci, Giulio, Barral, Oswald, Daee, Pedram, Wenzel, Markus, Serim, Baris, Ruotsalo, Tuukka, Pluchino, Patrik, Freeman, Jonathan, Gamberini, Luciano, Kaski, Samuel, Blankertz, Benjamin
Format:	Artikel
Sprache:	eng
Schlagworte:	Brain Domains Electroencephalography Eye movements Feedback Human-computer interaction Information retrieval Modelling Neurophysiology Relevance feedback Special Issue on Neuro‐information Science Task complexity Translation
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