TY - JOUR
T1 - Personalization of wellness recommendations using contextual interpretation
AU - Afzal, Muhammad
AU - Ali, Syed Imran
AU - Ali, Rahman
AU - Hussain, Maqbool
AU - Ali, Taqdir
AU - Khan, Wajahat Ali
AU - Amin, Muhammad Bilal
AU - Kang, Byeong Ho
AU - Lee, Sungyoung
N1 - Funding Information:
This research was supported by the (i) MSIT(Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program ( IITP-2017-0-01629 ) supervised by the IITP (Institute for Information & communications Technology Promotion)," (ii) Industrial Core Technology Development Program ( 10049079 , Development of mining core technology exploiting personal big data) funded by the Ministry of Trade, Industry and Energy (MOTIE, Korea)," (iii) Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning ( 2011-0030079 ), " and (iv) Korea Research Fellowship Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT ( NRF-2016H1D3A1938039 ) and ( NRF-2016K1A3A7A03951968 ), and (v) Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. 2017-0-00655 ).
Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2018/4/15
Y1 - 2018/4/15
KW - Context-aware recommendation
KW - Knowledge-based system
KW - Personalized recommendation
KW - Physical activity recommendation system
KW - Precise recommendation
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U2 - 10.1016/j.eswa.2017.11.006
DO - 10.1016/j.eswa.2017.11.006
M3 - Article
AN - SCOPUS:85033787874
SN - 0957-4174
VL - 96
SP - 506
EP - 521
JO - Expert Systems with Applications
JF - Expert Systems with Applications
ER -