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Journal of the Association for Information Science and Technology
IF
2.74
Papers
6866
Papers 6710
1 page of 671 pages (6,710 results)
Newest
Daifeng Li8
Estimated H-index: 8
(SYSU: Sun Yat-sen University),
Yintian Wang (THU: Tsinghua University)+ 5 AuthorsEnguo Zhou (SYSU: Sun Yat-sen University)
Yingying Wu (University of Texas at Austin), Yiqun Liu17
Estimated H-index: 17
(THU: Tsinghua University)
+ 1 AuthorsShing‐Tung Yau (Harvard University)
Giulio Jacucci29
Estimated H-index: 29
(UH: University of Helsinki),
Oswald Barral6
Estimated H-index: 6
(UH: University of Helsinki)
+ 8 AuthorsLuciano Gamberini23
Estimated H-index: 23
(UNIPD: University of Padua)
The use of implicit relevance feedback from neurophysiology could deliver effortless information retrieval. However, both computing neurophysiological responses and retrieving documents are characterized by uncertainty due to noisy signals and incomplete or inconsistent representations of the data. We present the first-of-its-kind, fully integrated information retrieval system that makes use of online implicit relevance feedback generated from brain activity as measured through electroencephalog...
Margaret Meiling Luo9
Estimated H-index: 9
(CCU: National Chung Cheng University),
Diane Nahl14
Estimated H-index: 14
(U.H.: University of Hawaii at Manoa)
Shuo Xu (Beijing University of Technology), Dongsheng Zhai1
Estimated H-index: 1
(Beijing University of Technology)
+ 3 AuthorsYirong Sun (Guangzhou Institutes of Biomedicine and Health)
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