Abstract
A system and a method is proposed for collecting and aggregating crowd-sourced data from data files based on parameters and measures of relevance of underlying content provided by the intelligent crowd. A user’s data may be combined with already existing collective data to generate relevant mark-ups for a document or other consumable data file, such as audio or video. The marked-up version of the document or data fie is then displayed to other users to, inter alia, enhance efficiency and comprehension for reading, listening or viewing.
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References
Anand, I.M., Wakhlu, A., Anand, P., Anand, I.: A Method And System For Computer-Aided Consumption of Information from Application Data Files. Patent Cooperation Treaty Patent Application, Publication No. WO20121625572A2 (2012)
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© 2014 Springer International Publishing Switzerland
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Anand, I.M., Wakhlu, A., Anand, P. (2014). A Method of Crowd-Sourced Information Extraction From Large Data Files. In: Perner, P. (eds) Machine Learning and Data Mining in Pattern Recognition. MLDM 2014. Lecture Notes in Computer Science(), vol 8556. Springer, Cham. https://doi.org/10.1007/978-3-319-08979-9_32
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DOI: https://doi.org/10.1007/978-3-319-08979-9_32
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08978-2
Online ISBN: 978-3-319-08979-9
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