@inproceedings{4502c546a0c24e148f584df62cfd0f29,
title = "Associative recommendation of learning contents aided by eye-tracking in a social media enhanced environment",
abstract = "In this paper, an approach to presenting the learning resources, especially those existing user-generated contents associated with learners{\textquoteright} activities, as the recommendation to satisfy their current requirements in a social media enhanced learning system, is proposed. Users{\textquoteright} attentions are caught and analyzed from the browsing behaviors of learners on a webpage through an eye-tracking device.",
keywords = "Associative recommendation, Browsing behavior, Eye-tracking, Social media",
author = "Guangyu Piao and Xiaokang Zhou and Qun Jin",
note = "Funding Information: The work has been partly supported by 2013 and 2014 Waseda University Grants for Special Research Projects No. 2013A-6395, No. 2013B-207, and No. 2014 K-6214. Publisher Copyright: {\textcopyright} Springer Science+Business Media Dordrecht 2015.; 2nd FTRA International Conference on Ubiquitous Computing Application and Wireless Sensor Network, UCAWSN 2014 ; Conference date: 07-07-2014 Through 10-07-2014",
year = "2015",
doi = "10.1007/978-94-017-9618-7_49",
language = "English",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "493--501",
editor = "Yi Pan and Gangman Yi and Han-Chieh Chao and Park, {James J.}",
booktitle = "Ubiquitous Computing Application and Wireless Sensor, UCAWSN-2014",
}